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Patent 2252063 Summary

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Claims and Abstract availability

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(12) Patent: (11) CA 2252063
(54) English Title: SYSTEM AND METHOD FOR GENERATING STEREOSCOPIC IMAGE DATA
(54) French Title: SYSTEME ET METHODE DE PRODUCTION DE DONNEES D'IMAGE STEREOSCOPIQUE
Status: Deemed expired
Bibliographic Data
(51) International Patent Classification (IPC):
  • H04N 13/00 (2018.01)
  • G06T 13/00 (2011.01)
  • H04N 13/00 (2006.01)
  • G06T 15/70 (2006.01)
  • H04N 13/02 (2006.01)
(72) Inventors :
  • MURRAY, HUGH (Canada)
(73) Owners :
  • IMAX CORPORATION (Canada)
(71) Applicants :
  • IMAX CORPORATION (Canada)
(74) Agent: BERESKIN & PARR LLP/S.E.N.C.R.L.,S.R.L.
(74) Associate agent:
(45) Issued: 2009-01-06
(22) Filed Date: 1998-10-27
(41) Open to Public Inspection: 2000-04-27
Examination requested: 2001-10-23
Availability of licence: N/A
(25) Language of filing: English

Patent Cooperation Treaty (PCT): No

(30) Application Priority Data: None

Abstracts

English Abstract

A system and corresponding method for generating stereoscopic image data from modelling data and camera animation curve data created in the process of creating a computer graphics animation sequence intended for 2D display. The system comprises a database in which the modelling data and the original camera animation curve data are stored, as well as a stereoscopic camera animation curve data generator and an animation sequence renderer. The stereoscopic camera animation curve data generator inputs the original camera animation curve data and generates stereoscopic camera animation curve data for at least one stereoscopic camera which is fixed in position and alignment with respect to another stereoscopic camera (which may be the original camera used to generate the original computer graphics animation sequence). The renderer inputs the stereoscopic camera animation curve data and the modelling data and generates stereoscopic image data.


French Abstract

Un système et une méthode correspondante de production de données d'image stéréoscopique à partir de données de modélisation et de données de courbes d'animation de l'appareil créées dans le processus de création d'une séquence d'animation par infographie prévue pour un affichage 2D. Le système comprend une base de données dans laquelle les données de modélisation et les données originales de courbes d'animation de l'appareil sont mises en mémoire, ainsi qu'un générateur de données de courbes d'animation de l'appareil stéréoscopique et un perspectiviste de séquence d'animation. Le générateur de données de courbes d'animation de l'appareil stéréoscopique saisit les données originales de courbes d'animation de l'appareil et génère des données de courbes d'animation de l'appareil stéréoscopique pour au moins un appareil stéréoscopique dont la position et l'alignement sont fixes par rapport à un autre appareil stéréoscopique (lequel peut être l'appareil original utilisé pour générer la séquence d'animation par infographie originale). Le perspectiviste saisit les données de courbes d'animation de l'appareil et les données de modélisation et génère des données d'image stéréoscopique.

Claims

Note: Claims are shown in the official language in which they were submitted.




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I claim:


1. A system for generating stereoscopic camera animation curve data from 2D
camera animation curve data, comprising:

(a) database means for storing the 2D camera animation curve data; and
(b) stereoscopic camera animation curve data generation means
responsive to the 2D animation curve data, for generating stereoscopic
camera animation curve data for stereoscopic cameras, comprising
node generation means for generating a dummy node and for
generating a first stereoscopic camera fixed in position relative to the
dummy node and for generating a second stereoscopic camera fixed in
position relative to the dummy node and separated from the first
stereoscopic camera.

2. The system as defined in claim 1, wherein the node generation means is
adapted to fix the first stereoscopic camera in alignment relative to the
dummy node
and to fix the second stereoscopic camera in alignment relative to the dummy
node.
3. The system as defined in claim 2, wherein the dummy node is located
equidistant between the first stereoscopic camera and the second stereoscopic
camera.

4. The system as defined in claim 1, wherein the 2D camera animation curve
data comprises data correlated to camera rotation.

5. A system for generating stereoscopic camera animation curve data from 2D
camera animation curve data created for a 2D camera, comprising:

(a) database means for storing the 2D camera animation curve data; and
(b) stereoscopic camera animation curve data generation means
responsive to the 2D animation curve data, for generating a second
stereoscopic camera fixed in position and alignment relative to the 2D



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camera and separated from the 2D camera and for generating second
stereoscopic camera animation curve data.

6. The system as defined in claim 5, wherein the 2D camera animation curve
data comprises data correlated to camera rotation.

7. A system for generating stereoscopic image data from animation data
comprising modelling data and 2D camera animation curve data created for a 2D
camera, the system comprising:

(a) database means for storing the modelling data and the 2D camera
animation curve data;

(b) stereoscopic camera animation curve data generation means
responsive to the 2D camera animation curve data, for generating
stereoscopic camera animation curve data for at least one stereoscopic
camera fixed in position and alignment relative to the 2D camera; and

(c) rendering means responsive to the stereoscopic camera animation
curve data and responsive to modelling data for rendering stereoscopic
image data.

8. The system as defined in daim 7, wherein the animation data also comprises
2D image data.

9. The system as defined in claim 7, wherein the 2D camera animation curve
data comprises data correlated to camera rotation.

10. A method for generating stereoscopic camera animation curve data from 2D
camera animation curve data, comprising the following steps:

(a) generating a dummy node;



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(b) generating a first stereoscopic camera fixed in position and alignment
relative to the dummy node;

(c) generating a second stereoscopic camera fixed in position and
alignment relative to the dummy node and separated from the first
stereoscopic camera;

(d) applying the 2D animation curve data to the dummy node;

(e) generating first stereoscopic camera animation curve data correlated to
the 2D animation curve data; and

(f) generating second stereoscopic camera animation curve data correlated
to the 2D animation curve data.

11. The method as defined in claim 10, wherein the 2D camera animation curve
data comprises data correlated to camera rotation.

12. A method for generating stereoscopic camera animation curve data from 2D
camera animation curve data created for a 2D camera, comprising the following
steps:

(a) generating a second stereoscopic camera fixed in position and
alignment relative to the 2D camera and separated from the 2D camera;
(b) applying the 2D animation curve data to the 2D camera; and

(c) generating second stereoscopic camera animation curve data correlated
to the 2D animation curve data.

13. The method as defined in claim 12, wherein the 2D camera animation curve
data comprises data correlated to camera rotation.



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14. A method for generating stereoscopic image data from animation data
comprising modelling data and 2D camera animation curve data, comprising the
following steps:

(a) generating a dummy node;

(b) generating a first stereoscopic camera fixed in position and alignment
relative to the dummy node;

(c) generating a second stereoscopic camera fixed in position and
alignment relative to the dummy node and separated from the first
stereoscopic camera;

(d) applying the 2D animation curve data to the dummy node;

(e) generating first stereoscopic camera animation curve data correlated to
the 2D animation curve data;

(f) generating second stereoscopic camera animation curve data correlated
to the 2D animation curve data;

(g) rendering first stereoscopic image data correlated to the first
stereoscopic camera animation curve data and to the modelling data;
and

(h) rendering second stereoscopic image data correlated to the second
stereoscopic camera animation curve data and to the modelling data.
15. The method as defined in claim 14, further comprising the steps of:

(i) determining first camera characteristic data prior to step (g); and
(j) determining second camera characteristic data prior to step (h).



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16. The system as defined in claim 14, wherein the 2D camera animation curve
data comprises data correlated to camera rotation.

Description

Note: Descriptions are shown in the official language in which they were submitted.



CA 02252063 1998-10-27

Title: SYSTEM AND METHOD FOR GENERATING STEREOSCOPIC
IMAGE DATA

FIELD OF THE INVENTION

This invention relates to the field of computer graphics animation,
and in particular, to stereoscopic image generation.

BACKGROUND OF THE INVENTION

The recent surge in the quantity and quality of computer graphics
animation for two dimensional (2D) or "monoscopic" media presentation
such as film or video, is largely attributable to the continued increase of
computer processing power, coupled with the constant evolution of
computer graphics animation techniques.

Typically, such animation involves the development of three
dimensional (3D) modelling constructs in artificial computer space. The
sets and props (including landscapes, buildings, trees, vehicles, furniture,
etc.) as well as the characters are modelled three dimensionally in
computer (or virtual) space having a 3D coordinate system, and stored as
modelling data. The modelling constructs are usually collections of
geometric surfaces built from mathematical primitives. The movement
and modification of the characters and props is also stored and
manipulated by the computer as a series of data paths correlated to time
and 3D space commonly referred to as "animation curves".
The succession of two dimensional (2D) views of the animated
sequence that become the frames in the film or video display, are usually
defined by placing a viewpoint in the scene in the artificial computer space
that "looks" in a certain direction, with a defined field of view (which may
be stored as camera characteristic data). This point of view has many of the


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characteristics of a real world camera and lens, and its placement and
movement within the modelled scene is analogous to the use of a camera
on a real world movie location. Unless expressly indicated otherwise,
reference to a "camera" in this specification including the claims, refers to
this form of simulated camera used in artificial computer space.

It should be understood that when used in this specification
including the claims, the term "animation sequence" may include one or
more animation sequences which have been joined together.
Animation curve data is also generated and stored with respect to
the desired movement and manipulation of the simulated camera. The
camera's animation curve data is synchronized with the various
animation curves used to move and manipulate the various characters
and props, in order for the camera to be able to view the animated action.
Through a complicated series of computations called "rendering", the
computer then calculates the view for each frame to approximate what a
real world camera would "see" if it was positioned and provided with
characteristics similar to the simulated camera and if the modelling
constructs were actually solid objects in the real world.

When the animation sequence is complete, the data generated (and
typically stored) by the animation process includes the modelling data and
the related modelling animation curve data, data relating to the
characteristics of the camera, such as field of view, aspect ratio, resolution
and horizon position, as well as the camera animation curve data, and the
rendered 2D computer graphics animation images which form the
animation sequence. As a result, the modelling data and related
animation curve data and the camera characteristics data and camera
animation curve data may be remanipulated so that a different animation
sequence may be rendered.


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It should be understood that when used in this specification
including the claims, the term "horizon position" refers to the vertical
offset which may be applied to change the normal horizon position in the
image. For large format theatres, typically a vertically off-centred lens is
used to change the normal horizon position which is typically in the
vertical centre of the image.

Less common, but still relatively well-known, is the ability to
generate a simulated 3D or "stereoscopic" image by combining two 2D
images (a left and a right image) of the same scene, each from a slightly
different perspective. Typically, both 2D images are presented
simultaneously (or in sufficiently rapid alternation to appear to be
presented simultaneously) on the same 2D medium, such as a film or TV
screen. Through one of several different known techniques, such as the
use of filtered or shuttered lenses or head-mounted display devices
containing a miniature video screen for each eye, the left image is
restricted so that it is viewed solely by the left eye, and the right image is
restricted so that it is viewed solely by the right eye. These techniques
simulate the visual process by which a person sees three dimensionally in
the real world.

Although stereoscopic images of the real world have been produced
for many years by special stereoscopic film cameras, the advent of
computer graphics animation technology has provided another forum for
generating simulated 3D images. The rendering of the stereoscopic images
by computer graphics animation involves a similar process as used in
generating 2D media presentations. As for computer graphics animation
generated for 2D media presentations, a 3D modelling construct is
generated and manipulated over time. However, when generating
stereoscopic images, two virtual cameras (a left and a right camera) are


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created which have slightly offset perspectives. The rendering for each
camera is performed in the same manner as for standard 2D media
presentations. In most instances, it is preferable if the left and right
cameras are fixed to each other in terms of position and camera alignment,
in order to simulate a person's eyes travelling through the computer space.
As with real world stereoscopic images, two main techniques are
available for generating stereoscopic computer graphics images. The first
technique involves aligning the camera axes (or fields of view) of the left
and right cameras so that they are parallel. This method is capable of
producing orthostereoscopic images, in which the relative distances
between the cameras and the various constructs in computer space and the
relative sizes of these constructs, essentially match the apparent sizes and
distances when presented to the viewer. In order to generate
orthostereoscopic images, it is necessary for the separation between the left
and right cameras to be scaled to match the interocular distance between
an average person's eyes as if such average person were modelled in the
computer space. Because the camera axes are parallel, the fields of view do
not overlap completely. As a result, unless some further step is taken,
strips of non-overlapping (and hence non-stereo) image information exist
at the left and right edges of the combined left and right images.

The second technique attempts to address this perceived problem in
that it involves converging the camera axes of the left and right cameras.
This process creates a plane at which the left and right camera fields of
view overlap completely. A consequence of converging the camera axes,
however, is that the stereoscopic images produced, are not
orthostereoscopic.

The term "stereoscopic camera" is commonly understood by those
skilled in the art to mean the combination of a left and a right camera


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linked together for the purpose of generating stereoscopic images. Even
though it should be understood that a single camera is by necessity
monoscopic in nature, in order to distinguish between a camera used to
create the original computer graphics animation intended for 2D
presentation (a "2D camera"), the term "stereoscopic camera", as used in
this specification including the claims refers to a camera (such as the left
or
right camera) which is being used for the purpose of generating a
stereoscopic animation sequence.

It has been known to reuse the modelling data and the related
animation curve data generated for a 2D media presentation, in order to
render stereoscopic images. However, these techniques do not readily lend
themselves to reusing the camera animation curves generated in the
process of creating the 2D media presentation - unless straight line motion
without camera rotation was used to manipulate the original 2D camera,
as discussed in relation to Figure 2F below, applying a simple transposition
of the original 2D camera animation curve in order to generate one new
camera animation path for a second new camera, or alternatively to
generate two new camera animation paths for two new cameras, results in
serious stereoscopic errors. Consequently, the known techniques have
required considerable time and expense on the part of the computer
graphics animators to determine the camera animation curves for the left
and right cameras, for the intended 3D presentation. Typically this process
involves reviewing the original 2D presentation, and then estimating the
camera animation curves necessary for the left and right cameras, in order
for the rendering process to generate stereoscopic sequences which roughly
parallel the original 2D sequences.

Accordingly, there is a need for a method and apparatus which
permits efficient reuse of data created during the process of creating
computer graphics animation for a 2D presentation, in order to create a 3D


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stereoscopic presentation.

In the field of generating stereoscopic computer animation
sequences, it is known to use a spreadsheet to make certain technical
calculations in advance of performing costly rendering, to determine if
there are potential difficulties with respect to the positioning of the
cameras in the modelling scene, or with respect to the interocular distance
between the stereoscopic cameras. Such potential difficulties include
having an object appearing to be very close to the viewer in real world
space - in these cases, the stereoscopic image is created may cause
discomfort to the viewer's eyes.

In the prior art spreadsheets, it was necessary to ensure that the
modelling units used in generating the modelling constructs in computer
space were scaled to real world units of measurement, such as in feet or
metres. This enabled the computer graphics animator to determine what
the apparent location and size in the real world of different objects in the
scene would be when the 3D animation sequence was displayed. If the
modelling constructs were not scaled in real world units of measurement,
prior art spreadsheets required the modelling units to first be converted
into real world units, before the spreadsheet calculations could be
performed.

Accordingly, there is also a need for a method of determining
certain characteristics of an animation sequence, such as the apparent (to
the viewer) size and distance of objects or modelling constructs appearing
in the sequence, prior to the sequence being rendered, while permitting
the modelling units to be arbitrary (but consistent) units of measurement.
SUMMARY OF THE INVENTION


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The present invention is directed towards a system for generating
stereoscopic image data from animation data comprising modelling data
and 2D camera animation curve data generated and stored during the
process of creating a computer graphics animation sequence(s) for a
monoscopic or 2D presentation.

In one aspect, the invention comprises a system for generating
stereoscopic camera animation curve data from 2D camera animation
curve data. The system comprises a database which stores modelling data
and the 2D camera animation curve data, and a stereoscopic camera
animation curve data generator. The stereoscopic camera animation
curve data generator inputs the 2D animation curve data, and generates
stereoscopic camera animation curve data for stereoscopic cameras. The
stereoscopic camera animation curve data generator comprises a node
generator which generates a dummy node, a first stereoscopic camera fixed
in position in position and alignment relative to the dummy node, as well
as a second stereoscopic camera fixed in position and alignment relative to
the dummy node and separated from the first stereoscopic camera.

In another aspect, the invention comprises a system for generating
stereoscopic camera animation curve data from 2D camera animation
curve data created for a 2D camera. The system comprises a database for
storing modelling data and the 2D camera animation curve data, and a
stereoscopic camera animation curve data generator. The stereoscopic
camera animation curve data generator inputs the 2D animation curve
data, generates a second stereoscopic camera fixed in position and
alignment relative to the 2D camera and separated from the 2D camera,
and generates second stereoscopic camera animation curve data.

In yet another aspect, the invention comprises a system for
generating stereoscopic image data from animation data comprising


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modelling data and 2D camera animation curve data. This system
comprises a database in which the modelling data and the 2D camera
animation curve data are stored, as well as a stereoscopic camera
animation curve data generator and an animation sequence renderer. The
stereoscopic camera animation curve data generator inputs the animation
curve data and generates stereoscopic camera animation curve data for at
least one stereoscopic camera. The renderer inputs the stereoscopic camera
animation curve data and the modelling data and generates stereoscopic
image data.
The present invention is also directed toward a method for
generating stereoscopic camera animation curve data from 2D camera
animation curve data, comprising the following steps:

(a) generating a dummy node;

(b) generating a first stereoscopic camera fixed in position and
alignment relative to the dummy node;

(c) generating a second stereoscopic camera fixed in position and
alignment relative to the dummy node and separated from
the first stereoscopic camera;

(d) applying the 2D animation curve data to the dummy node;
(e) generating first stereoscopic camera animation curve data
correlated to the 2D animation curve data; and

(f) generating second stereoscopic camera animation curve data
correlated to the 2D animation curve data.


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In another aspect, the present invention is also directed toward a
method for generating stereoscopic camera animation curve data from 2D
camera animation curve data created for a 2D camera, comprising the
following steps:
(a) generating a second stereoscopic camera fixed in position and
alignment relative to the 2D camera and separated from the
2D camera;

(b) applying the 2D animation curve data to the 2D camera; and
(c) generating second stereoscopic camera animation curve data
correlated to the 2D animation curve data.

In yet another aspect, the present invention is also directed toward a
method for generating stereoscopic image data from animation data
comprising modelling data and 2D camera animation curve data,
comprising the following steps:

(a) generating a dummy node;

(b) generating a first stereoscopic camera fixed in position and
alignment relative to the dummy node;

(c) generating a second stereoscopic camera fixed in position and
alignment relative to the dummy node and separated from
the first stereoscopic camera;

(d) applying the 2D animation curve data to the dummy node;
(e) generating first stereoscopic camera animation curve data


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correlated to the 2D animation curve data;

(f) generating second stereoscopic camera animation curve data
correlated to the 2D animation curve data;
(g) rendering first stereoscopic image data correlated to the first
stereoscopic camera animation curve data and to the
modelling data; and

(h) rendering second stereoscopic image data correlated to the
second stereoscopic camera animation curve data and to the
modelling data.

In still another aspect, the subject invention is directed towards a
system for determining attributes of a stereoscopic image to be generated
using modelling data and a first stereoscopic camera and a second
stereoscopic camera. The system comprises an input device and a
processor capable of receiving measured data from the input device
correlated to measurements in arbitrary but internally consistent
modelling units taken from the modelling data and the position of the
first and second stereoscopic cameras, for calculating attribute data
correlated to attributes of the stereoscopic image in real world units, and
an output device operationally coupled to the processing means for
displaying the attribute data.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention will now be described, by way of example
only, with reference to the following drawings, in which like reference
numerals refer to like parts and in which:


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Figure 1A is a schematic diagram of the components of a first
embodiment of the subject invention;

Figure 1B is a schematic diagram of the components of an
alternative embodiment of the subject invention;

Figure 2A is an overhead view of a representation of a node fixedly
coupled to a pair of stereoscopic cameras having their camera axes in
parallel alignment, generated in accordance with the subject invention;

Figure 2B is an overhead view of a representation of the 2D camera
previously used to generate the original 2D animation sequence, following
its 2D camera animation curve path;
Figure 2C is an overhead view of a representation of the node and
stereoscopic cameras of Figure 2A, in which the 2D camera animation
curve path of Figure 2B is applied to the node, in accordance with the first
embodiment of the subject invention;
Figure 2D is an overhead view of a representation of a node fixedly
coupled to a pair of stereoscopic cameras having their camera axes
converged, in which the 2D camera animation curve path of Figure 2B is
applied to the node, in accordance with the first embodiment of the subject
invention;

Figure 2E is an overhead view of the 2D camera and 2D camera
animation curve path of Figure 2B in which the 2D camera is fixedly
coupled to a second stereoscopic camera as the 2D camera follows its 2D
camera animation curve path, in accordance with the alternative
embodiment of the subject invention;


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Figure 2F is an overhead view of the 2D camera and 2D camera
animation curve path of Figure 2B in which a simple linear
transformation is applied to the 2D camera animation curve path, to
generate a camera animation curve path for a second stereoscopic camera,
to illustrate the stereoscopic errors which can occur if the method and
apparatus of the subject invention is not used;

Figure 3 is a flow chart showing the method used by the apparatus
of the first embodiment to generate stereoscopic image data; and

Figure 4 is a flow chart showing the method used by the apparatus
of the alternate embodiment to generate stereoscopic image data;

Figure 5 is a schematic diagram of the components of a third
embodiment of the subject invention; and

Figure 6 is a schematic diagram of a spreadsheet used to implement
the third embodiment of the subject invention of Figure 5.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Referring to Figure 1A, illustrated therein is first embodiment of a
system for generating stereoscopic image data shown generally as 100 made
in accordance with the subject invention. The system 100 comprises a 2D
animation database 102, a stereoscopic camera animation curve generator
104, and an animation sequence renderer 106. The animation database 102
and the animation sequence renderer 106 are both well-known by those
skilled in the art.

The 2D animation database 102 stores data previously generated


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during a process of creating computer graphics animation sequences
intended for display on 2D media, such as film or video (without
attempting to create stereoscopic images). The 2D database 102 contains the
modelling data 108 from the animation sequences, which includes data
correlated to the 3D modelling constructs, as well as the modelling
animation curve data correlated to the animation curves used to move
and manipulate the various modelling constructs. The 2D database 102
also contains 2D camera animation curve data 110 correlated to the
animation curves applied to the 2D camera in order to view or capture
each frame in the animation sequence. It should be understood that
references herein to a 2D camera in this specification including the claims
refers to a virtual camera used in the creation of a computer graphics
animation sequence intended for presentation on 2D media (without
attempting to create stereoscopic images). Preferably, the 2D database 102
will also contain 2D rendered data 112 correlated to the animation
sequences as rendered during the previous 2D animation process.

It should be understood that the 2D database 102 may be unitary, or
may comprise several database mechanisms which store some or all of the
2D data 108, 110 and 112. Additionally, it should be understood that the 2D
database 102 may comprise any form of data storage mechanism which
utilizes electronic, magnetic or optical storage or similar data storage
techniques. It should also be understood that the 2D database 102 may be
physically proximate to the other components of the system 100, or may be
physically remote from the other components.

The stereoscopic camera animation curve generator 104 is
electronically coupled to the recipient 2D database 102 so as to be capable of
retrieving the 2D data 108, 110 and 112. The generator 104 comprises a
node generator 114 for generating a dummy node and calculating
stereoscopic camera animation curve data for at least one stereoscopic


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camera.

The node generator 114 typically comprises a suitably programmed
computer system capable of generating a dummy node 116 (as illustrated
in Figure 2A). As will be understood by one skilled in the art, the dummy
node 116 is a mathematical construct which may be positioned and
oriented in the computer space represented by the modelling data 108, as
illustrated by node point 118 and node direction vector 120. The node
generator 114 also creates a left stereoscopic camera 122 and a right
stereoscopic camera 124 which are fixed in relative position and alignment
to the dummy node 116, and are spaced from each other.

At this stage, the characteristics of the left camera 122 and the right
camera 124, such as field of view, aspect ratio, resolution and horizon
position, typically have not yet been defined and as with the dummy node
116, may be treated as points in space represented by left camera point 126
and right camera point 128, each having a particular orientation illustrated
by left camera direction vector 130 and right camera direction vector 132,
respectively. The cameras 122, 124 may be defined as transformation
functions of the dummy node 116. For illustration purposes, cameras 122,
124 have been illustrated in Figure 2A as each having a particular field of
view represented by left camera field of view vectors 134 and right camera
field of view vectors 136. However, as discussed above, typically the
characteristics of the cameras 122, 124 have not been defined at this stage
(although in most instances, they will need to be identical in order to
render optimal stereoscopic images).

Referring now to Figure 2B, illustrated therein is a 2D camera 138,
having a field of view illustrated by 2D camera field of view vectors 140,
which was used to generate the 2D rendered data 112 correlated to the
original animation sequences for 2D presentation. As with the left


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stereoscopic camera 122 and the right stereoscopic camera 124, 2D camera
138 may be considered to be a point in space represented as 2D camera
point 142 having a particular orientation illustrated by 2D camera direction
vector 144. Dotted line 146 represents the animation curve applied to the
2D camera (and stored as 2D camera animation curve data 110) in order to
generate the original animation sequences. For the purpose of illustrating
the effect on the 2D camera 138 as it followed the animation curve 146
during the original rendering process, 2D camera 138 has been illustrated
at two points in time, at the start of the animation curve 146 denoted by
'Start', and at the end of the animation curve 146 denoted by 'End'.

Preferably, the left stereoscopic camera 122, the dummy node 116
and the right stereoscopic camera 124 are positioned and fixed linearly,
with the dummy node 116 centred between the left stereoscopic camera 122
and the right stereoscopic camera, as illustrated in Figure 2A. As will be
understood by one skilled in the art, as noted above, the scaled "camera
interocular" distance between the left camera 122 and the right camera 124
will typically be determined by the computer animator, and in most
instances will preferably be scaled to match the interocular distance
between an average person's eyes as if such average person were modelled
in the computer space, in order to generate orthostereoscopic animation
sequences.

The node generator 104 is programmed to input the 2D camera
animation curve data 110, and apply that data 110 to the dummy node 116.
Referring now to Figure 2C, as the dummy node 116 tracks along the 2D
camera animation curve 146 stored in the data 110, the corresponding
positions and orientations of the left stereoscopic camera 122 and the right
stereoscopic camera 124 are calculated, thereby defining the left camera
animation curve represented by dotted line 148 for the left camera 122 and
the right camera animation curve represented by dotted line 150 for the


CA 02252063 1998-10-27

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right camera 124. The data correlated to the animation curves 148, 150 is
stored respectively as left stereoscopic camera animation curve data 152
and right stereoscopic camera animation curve data 154.

As will be understood by one skilled in the art, graphics animation
software typically utilizes a hierarchical structure to manipulate and move
the modelling constructs within virtual space. Accordingly, most
modelling constructs are positioned on a hierarchical tree of parents and
children. Movements and manipulations affecting a parent flow down
the tree and similarly affect the children. However, movements and
manipulations directed to a child on the tree will not flow up the tree to
affect the child's parent.

As should therefore be understood, while the camera animation
curve generator 104 (and node generator 114) may comprise software
created specifically for the purpose of generating camera animation curves
in the manner described above, alternatively the types of computer
animation software which utilize a hierarchical structure offer the
capability for the dummy node 116 to be created as a parent on a
hierarchical tree, linked in fixed position relative to the cameras 122, 124
which are created as children to the dummy node 116. As a result, when
the original 2D camera animation curve is applied to the dummy node 116
as a parent on the tree, the child cameras 122, 124 maintain their position
relative to the dummy node 116, from which the respective camera
animation curve data 152, 154 can be determined.

While Figure 2C illustrates use of the first embodiment of the
subject invention in which the camera axes (represented by camera
direction vectors 130, 132) of the left and right cameras 122, 124 are in
parallel alignment, Figure 2D illustrates use of the first embodiment in
which the camera axes (represented by camera direction vectors 130', 132')


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of the left and right cameras 122', 124' are converged. It should be
understood that the angle of convergence of the orientation of the cameras
122', 124' has been somewhat exaggerated for illustrative purposes.

The animation sequence renderer 106 will typically comprise a
computer system running standard, commercially available computer
graphics animation software. Typically such animation software permits
the characteristics of the camera(s) (such as field of view, aspect ratio,
resolution and horizon position) to be used in the rendering process to be
determined by the computer graphics animator. The renderer 106 is
capable of retrieving the modelling data 108 stored on the animation
database 102, as well as the left stereoscopic camera animation curve data
152 and right stereoscopic camera animation curve data 154.

Some commercial computer graphics animation software
applications (such as WAVEFRONT TM, by Alias I Wavefront, a division of
Silicon Graphics Limited) are capable of rendering images as seen from the
left and right stereoscopic cameras as a single defined operation, provided
that two camera animation curve paths are specified. With such
animation software, the animation sequence renderer 106 will be capable
of inputting both the left animation curve data 152 and the right
animation curve data 154 (in addition to the modelling data 108) in order
to sequentially render the left stereoscopic animation sequence data 156
and the right stereoscopic animation sequence data 158 corresponding to a
single frame in the animation sequence, for each frame in the animation
sequence.

However, some other animation software (such as SOFTIMAGE by
Softimage Inc.) is only capable of rendering animation sequences for a
single camera at a time. If such software is used in the renderer 106, the
left animation sequence data 156 and the right animation sequence data


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158 must be separately rendered by separately inputting the respective
animation curve data 152, 154. Together, the left sequence data 156 and the
right sequence data 158 form the 3D animation sequence data 160 to be
used for stereoscopic display.
Alternatively, it should be understood that instead of generating the
complete animation curve data 152, 154 for an animation sequence, the
node generator 104 may simply generate and output to the animation
sequence renderer 106 the animation curve data 152, 154 corresponding to
a single frame in the 3D animation sequence, at a time. In this manner,
the 3D animation sequence data 156, 158 will be generated in parallel with
the generation of the animation curve data 152, 154. In the event that the
renderer 106 is only capable of generating the entire animation sequence
data 156 or 158 corresponding to a single camera 122 or 124 at a time, it
should be readily understood that the node generator 104 may input the
2D camera animation curve data 110, and apply that data 110 to the
dummy node 116 to generate and output to the renderer 106 the
animation curve data 152 or 154 for one of the cameras 122 or 124
corresponding to a single frame in the 3D animation sequence, at a time.
In a similar fashion, the node generator 104 would then reinput the 2D
camera animation curve data 110 to generate and output to the renderer
106 the remaining animation curve data 152 or 154 for the other of the two
cameras 122 or 124, corresponding to a single frame in the animation
sequence, at a time.
Prior to display, the 3D animation sequence data 160 will typically be
converted and printed onto celluloid for cinematographic projection, or
into videotape format. As will be understood by one skilled in the art, for
cinematographic projection, the left sequence data 156 will be converted
and printed onto a separate film (for projection by a separate projector)
from that of the right sequence data 158. For videotape presentation on a


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TV screen or similar device, the left sequence data 156 and the right
sequence data 158 will typically be combined in a manner known in the art
for display by a single videotape player device connected to a display device
(such as a TV).
Figure 3 illustrates the steps of the method 200 carried out by the
system 100 made in accordance with the first embodiment of the subject
invention. Once the animation data comprising modelling data 108 and
2D camera animation curve data 110 generated during a previous process
of creating computer graphics animation sequences intended for
monoscopic display, has been selected and stored such as in an animation
database 102, a dummy node 116 which exists essentially as a piece of
geometry and having a reference point for positioning purposes as well as
for orientation purposes, is created (Block 202). A first stereoscopic camera
is then generated which is fixed in position and alignment relative to the
dummy node 116 (Block 204). Similarly, a second stereoscopic camera is
then generated which is fixed in position and alignment relative to the
dummy node, and separated from the first stereoscopic camera (Block 206).
Preferably, the first stereoscopic camera, the dummy node 116 and the
second stereoscopic camera are positioned and fixed linearly, with the
dummy node 116 centred between the first and second stereoscopic
cameras, as generally illustrated by left stereoscopic camera 122, dummy
node 116 and right stereoscopic camera 124, in Figure 2A.

The 2D camera animation curve data is then applied to the dummy
node, and first stereoscopic camera animation curve data is generated
which correlates to the path followed by the first stereoscopic camera as the
dummy node tracks the 2D camera animation curve data (Block 208).
Through a similar process, second stereoscopic camera animation curve
data is generated (Block 210). Although the steps shown in Blocks 208 and
210 are listed separately, it should be understood that the first and second


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camera animation curve data may be generated essentially
simultaneously.

Preferably the camera characteristics, such as field of view, aspect
ratio, resolution and horizon position, of the first and second stereoscopic
cameras may be selected manually (Block 212). Then, in known fashion
and typically using standard computer graphics animation software, the
modelling data and the first stereoscopic animation curve data are used to
render first stereoscopic image data correlated to the intended stereoscopic
animation sequence (Block 214). Similarly, the modelling data and the
second stereoscopic animation curve data are used to render second
stereoscopic image data correlated to the intended stereoscopic animation
sequence (Block 216). Although the steps shown in Blocks 214 and 216 are
listed separately, it should be understood that the first and second
stereoscopic image data may be generated essentially simultaneously, in
one operation.

In some instances, it may be most cost effective to reuse the original
2D computer graphics animation sequence as the first stereoscopic
animation sequence, and to generate a second stereoscopic animation
sequence which is rendered using a camera offset to the right or to the left
from the original 2D camera. As a result, in an alternative embodiment of
the system, shown generally as 100' in Figure 1B, the stereoscopic camera
animation curve generator 104' only needs to be capable of generating the
camera animation curve data for a second stereoscopic camera.

Referring simultaneously to Figures 1B and 2E, in such instances,
the node generator 114 illustrated in Figure 1A may be replaced by a second
stereoscopic camera animation curve generator 132. Camera animation
curve generator 132 creates a second stereoscopic camera 162 fixed in
relative position and alignment to and spaced from the original 2D camera


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138. In a similar manner as noted previously in connection with left and
right cameras 122, 124, the second camera 162 may be considered to be a
point in space represented as second stereoscopic camera point 166 having
a particular orientation illustrated by second stereoscopic camera direction
vector 168, as illustrated in Figure 2E. Utilizing a transformation function
which maintains the fixed positional and camera axes alignment
relationship between the original 2D camera and the second stereoscopic
camera, the camera animation curve generator 132 creates second
stereoscopic camera animation curve data 170 correlated to second
stereoscopic camera animation curve represented by dotted line 172.

In a similar manner as described in connection with the first
embodiment, the animation sequence renderer 106 inputs the second
stereoscopic animation curve data 170 (in addition to the modelling data
108) and renders the second stereoscopic animation sequence data 174. The
computer graphics animator typically inputs the camera characteristics of
the second camera 162 into the renderer 106 at the rendering stage (at
which point they should preferably match the camera characteristics of the
2D camera 138). Together, the 2D rendered data 112 (as shown in dotted
outline) and the second stereoscopic sequence data 174 form the 3D
animation sequence data 160' to be used for stereoscopic display.

Figure 4 illustrates the steps of the method 300 carried out by the
system 100' made in accordance with the alternative embodiment of the
subject invention. Once the animation data comprising modelling data
108 and 2D camera animation curve data 110 generated during a previous
process of creating computer graphics animation sequences intended for
monoscopic display, has been selected and stored such as in an animation
database 102, a second stereoscopic camera is then generated which is fixed
in position and alignment relative to the 2D camera, and separated from
the 2D camera (Block 302). The 2D camera animation curve data is then


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applied to the 2D camera, and second stereoscopic camera animation curve
data is generated which correlates to the path followed by the second
stereoscopic camera as the 2D camera tracks the 2D camera animation
curve data (Block 304).
In most instances, the camera characteristics of the second
stereoscopic camera will simply be required to match the camera
characteristics of the 2D camera (Block 306). Then, in known fashion and
typically using standard computer graphics animation software, the
modelling data and the first stereoscopic animation curve data are used to
render second stereoscopic sequence data correlated to the intended
stereoscopic animation sequence (Block 308).

As should be understood by one skilled in the art, reusing the
original 2D computer graphics animation sequence as the first stereoscopic
animation sequence in accordance with the alternative embodiment of the
subject invention, typically produces stereoscopic animation sequences
which are slightly less optimal than stereoscopic animation sequences in
which two new stereoscopic cameras are created in order to render both
the left and right stereoscopic animation sequence, in accordance with the
first embodiment of the subject invention.

The reason for typically preferring the latter approach is that with a
person's eyes, the centred direction of view (or apparent point of view)
originates in between the eyes - each eye is slightly offset from this centred
direction of view. When the left and right eye images are fused by the
person's brain to generate stereoscopic images, the direction of view that
the brain perceives originates from the midpoint between the eyes.

With the 2D camera, the direction of view typically originates from
the midpoint of the 2D camera, with the optimal direction of view (as


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determined by the computer graphics animator) centred on the action in
the sequence. As a result, when the 2D camera animation curve is applied
to the dummy node of the first embodiment, this optimal direction of
view is centred between the two stereoscopic cameras.
However, when the original 2D animation sequence is reused as in
the alternative embodiment, the optimal direction of view continues to
originate from the centre of the 2D camera, and not from the mid-point
between the 2D camera and the second stereoscopic camera. This creates a
slightly offset (from the viewer's perspective) point of view when the two
sequences are merged to form a stereoscopic image. For objects which
appear distant, the difference in view from the approaches embodied in
the first and alternative embodiments will be negligible. However, for
objects which appear fairly close to the viewer, the offset optimal point of
view may be noticeable.

It should also be understood that it is possible to use the alternative
embodiment to generate stereoscopic images in which the camera axes of
the two stereoscopic cameras are converged. However, doing so results in
images in which the offset is typically more noticeable than when the
camera axes are in parallel alignment.

Figure 2F illustrates one example of the stereoscopic errors which
typically result if the method and apparatus of the subject invention are
not used, and instead, a simple linear transformation is applied to the
original 2D camera animation curve 146, in order to generate two new
camera animation curves 146', 146". These curves 146', 146" are applied to
first new camera 176 and second new camera 178 having first and second
camera points 180, 182 each having a particular orientation illustrated by
first and second new camera direction vectors 184, 186, respectively.


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Animation curve 146" is identical in shape to camera animation
curve 146', but is shifted to the right in Figure 2F through a simple linear
transformation. As is clearly illustrated, if cameras 180, 182 followed their
respective animation curves 146', 146", they would not maintain a fixed
relative position and alignment between them. Instead, as illustrated, at
the 'End' of the respective camera animation curves 146', 146", second new
camera 178 is the same distance to the right of the first new camera 176, in
absolute terms, but has been shifted in relative terms to appear "in front"
of the first camera 176 (in the direction of direction vector 184), thereby
effectively preventing the generation of proper stereoscopic images.

As noted previously, in most instances it is preferable if the two
stereoscopic cameras are fixed both regarding relative position and camera
alignment with respect to each other, in order to simulate a person's eyes
travelling through the computer space. Simply transposing the original
2D camera animation curve to generate camera animation curves for two
intended stereoscopic cameras can even result in the left camera moving
to the right (in relative terms) of the right camera.

While the first and alternative embodiments of the subject
invention have been illustrated and described as using previously
generated 2D camera animation curve data and modelling data, it should
be understood that the system and method may be used to generate
stereoscopic animation sequences using all or only some of the 2D
animation curve data and modelling data.

In some instances, utilizing the 2D camera animation curve data or
the modelling data may create undesirable results. Accordingly, in those
situations it may prove necessary for the computer graphics animator to
modify certain "shots" or sequences slightly, either by modifying the
modelling data or the stereoscopic camera animation curve paths for the


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two stereoscopic cameras. For example, in some scenes originally intended
for 2D presentation, the computer graphics animator may insert a 2D
backdrop of the sky, for example. While it may not be apparent in the 2D
presentation that the sky is merely a 2D backdrop, when stereoscopic
images are created, sometimes the illusion is pierced and the use of the
backdrop becomes apparent, requiring correction by the computer graphics
animator. As well, in a 2D animation sequence, the proximity of the 2D
camera to objects in the scene is not of particular concern. For stereoscopic
display, however, as would be understood by one skilled in the art, if the
cameras are too close to an object, the resulting 3D image may create
discomfort for the viewer. In such cases, entirely new animation curves
for the stereoscopic cameras may need to be created by the computer
graphics animator.

It should be understood that the size and shapes of the various
cameras and nodes in Figures 2A - 2F have been represented for
illustrative purposes only. As noted previously, the cameras and nodes
may exist merely as mathematical points having a particular orientation
or direction.

It should also be understood that while the camera animation curve
paths illustrated in Figures 2A - 2F are relatively simple and continuous,
existing in two dimensions only, typically the camera animation curves
used to generate computer graphics animation sequences (for 2D or 3D
presentation) are more complex, travelling in three dimensions
throughout the virtual space, and may be discontinuous.

Furthermore, it should be understood that while the orientation (or
alignment) of the cameras and nodes in Figures 2A - 2F have been
illustrated as being correlated to the general direction of movement as the
camera or node follows its respective animation curve path, it should be


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understood that as long as the desired relationship between the relative
positions of the cameras and the orientation of the camera axes (ie. parallel
or converging) is maintained (in the case of two cameras), it should be
understood that the axes of the cameras (illustrated by the camera direction
vectors) need not be tangential to the respective camera animation curves.
Figure 5 illustrates the system, shown generally as 400, which is
capable of generating data with respect to a proposed animation sequence,
in accordance with the subject invention. The system 400 comprises a
suitably programmed processing unit 402, a data storage device 404, an
input device 406, and an output device 408. The system 400 will preferably
comprise a standard computer system having a suitably programmed
central processing unit (CPU) 402, a data storage device 404, including
RAM and ROM and long term storage, an input device 406, such as a
standard computer keyboard and mouse, and an output device 408, such as
a computer screen.

The parallax of a subject or object in a scene, is the difference in
horizontal position of that subject with respect to the left and right
stereoscopic cameras. For a stereoscopic pair of left and right cameras
separated by a distance I, each having a lens of focal length F, the
calculation for determining the parallax P of a subject is set out in the
known equation El:

El. P = 8FI(D - Dconv) /(I2 - 4DconvD)

In this equation, D is the distance from the pair of stereoscopic
cameras, and Dconv is the distance at which the stereoscopic cameras are
converged, if camera convergence is being employed to generate
stereoscopic images. In the modelled computer world, the units for
measuring the distances of I, D and Dconv are all in whatever arbitrary units


CA 02252063 1998-10-27

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the animator selected (eg. graph units). From equation El, it can be seen
that as a result of division, all of the units for I, D and Dcoõv in the
numerator and denominator cancel out, leaving the units for F, the focal
length. Accordingly, the units of parallax, P, will correspond to the units
for F.

In any camera system, focal length determines the angular field of
view. This is illustrated by the known equation E2, in which W represents
the dimension of the final image, and e represents the field of view in
which e and W are measured in the same direction (ie. vertically or
horizontally):

E2. F = W / 2tan(o/2)

In most computer graphics animation software applications, the
field of view, o, of the software camera being utilized by the application
can be easily determined. From equation E2, it is apparent that the units of
F will correspond to the units used to measure W. Thus, if the final
destination of the stereo images are to be printed onto film, for example,
and the units of the dimension of the film, W, are in millimetres (eg.
70mm film), which is typically the case, then the focal length F will also be
defined in millimetres.

Once the values for I, D and Dconv have been determined with
respect to a particular subject, the focal length F as calculated in equation
E2 may also be substituted into equation El to determine what the parallax
of the subject would be on film. Accordingly, the calculated parallax will
also be in the same real world units as for the dimension of the image, W.

Since the magnification from film to the final viewing screen is a
known quantity, the effect on the audience can be accurately calculated


CA 02252063 1998-10-27

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using this calculated parallax, and known stereoscopic equations. Utilizing
the equations El, E2 in this manner enables the automatic mapping of
potentially arbitrary computer world modelling units into real world
viewer space.
Preferably, the processing unit 402 of the system 400 will comprise a
spreadsheet program for generating a spreadsheet 410 as illustrated in
Figure 6. The spreadsheet 410 has a set of cells 412-422, into which
following values in computer modelling units taken from the computer
model are entered: Camera Field of. View 412 corresponding to the field of
views of the left and right stereoscopic cameras, Camera Separation 414
corresponding to the distance between the left and right stereoscopic
cameras, Convergence Distance 416, Prime Subject Distance 418
corresponding to the distance of the subject from the left and right
stereoscopic cameras, Subject Size 420 corresponding to the size of the
subject and Far Subject Distance 422 corresponding to the distance to the
farthest visible object in the computer model, whenever convergence is
smaller than infinity (ie. whenever the left and right cameras are
converged and not in parallel alignment). If the left and right and right
cameras are in parallel alignment (and not converged), very large values
representing effective infinity (such as 1.00E+10) are entered into the
Convergence Distance 416 and the Far Subject Distance 422 cells. The
values entered into the set of cells 412-422 may be in any arbitrary, but
internally consistent, modelling units (except for the Camera Field of View
412 cell, which is typically in degrees, or correlated units).

The spreadsheet 410 also has a set of cells 424, 426, in which the
values in real world units (typically metres or feet) for Subject Theatre
Distance 424 corresponding to the distance the subject will appear from the
viewer, and Subject Theatre Size 426 corresponding to the size the subject
will appear to the viewer, are calculated and displayed.


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The formula used by the cell 424 to calculate the Subject Theatre
Distance, Dtheatre is set out in equation E3:

E3. Dtheatre -(Iviewer / (Iviewer + MP - K))Dscreen

in which Iviewer is the interocular distance between the viewer's eyes and K
is the alignment constant representing the separation between the left and
right eye images on the screen at infinity, as would be understood by one
skilled in the art. The human average of 65mm is typically used for this
value. M is the magnification from film frame to theatre screen
(approximately 350 times, in a large format theatre) and P is the film
parallax calculated in accordance with equation El, discussed above. Dscreen
is the viewer's seating distance from the screen, and the distance for
Dtheatre
calculated through equation E3 is in the same units as used for Dscreen
(since as discussed above, parallax, P, is typically calculated in
millimetres,
as is Iviewer)=

The formula used by cell 426 to calculate the Subject Theatre Size,
Stheatre, is set out in equation E4:

E4. Stheatre- MSfilm (Dtheatre/Dscreen)

in which Sfilm is the size of the image on the film. The size of the image on
film is a result of the distance from the subject to the camera and camera
focal length, which will be the same for both the left and right images.

Sfilm is calculated and substituted into equation E4, using the
following equation E5:


CA 02252063 1998-10-27

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E5. Sfilm = F(Scomp / Dcomp)

in which F is the focal length calculated previously, and Sco,.np and Dcomp
are
the values of the size of the subject and the distance of the subject from the
cameras, respectively, in computer modelling units. Since the modelling
units cancel out from the numerator and the denominator in equation E5,
Sfilm will be in the same units as F (typically millimetres).

When convergence is used in generating stereoscopic images, any
subject further from the camera than the convergence distance has its
parallax reversed, with the right eye image moving to the right of the left
eye. Since human eyes are not equipped with muscles that allow our eyes
to rotate outwards (diverge), there are limits to how much of this is
allowed before the stereoscopic illusion will fail and cause discomfort for
the viewer. The amount of this divergent parallax increases with distance.
The spreadsheet 410 is therefore provided with a cell 428 which
calculates the divergent parallax, Pdiv, corresponding to the value in the
Far Subject Distance Cell 422, using equation El in which Pdiv is substituted
for P, and the value in the Distance Cell 422 is substituted for D. The
parallax value, Pdiv calculated by cell 428 is used by the Far Subject Front
Row Divergence Angle cell 430 to calculate the divergence or outward
rotation angle, ediv, as seen by the person in the front row of the theatre
(which is the worst case position), using equation E6:

E6. odiv = 2atan((MP - K) / 2Dclose)

in which Dciose is the closest distance anyone will be seated from the
viewing screen. The value calculated by the spreadsheet 410 in the Far
Subject Front Row Divergence Angle cell 430 should never exceed one


CA 02252063 1998-10-27

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degree, the accepted standard tolerance for divergence. If this value
exceeds one degree, the computer animator will have to reconfigure either
the positions of the left and right stereoscopic cameras in the scene, or
manipulate the objects in the scene to ensure that this divergence angle is
reduced to one degree or less.

Thus, while what is shown and described herein constitutes
preferred embodiments of the subject invention, it should be understood
that various changes can be made without departing from the subject
invention, the scope of which is defined in the appended claims.

Representative Drawing
A single figure which represents the drawing illustrating the invention.
Administrative Status

For a clearer understanding of the status of the application/patent presented on this page, the site Disclaimer , as well as the definitions for Patent , Administrative Status , Maintenance Fee  and Payment History  should be consulted.

Administrative Status

Title Date
Forecasted Issue Date 2009-01-06
(22) Filed 1998-10-27
(41) Open to Public Inspection 2000-04-27
Examination Requested 2001-10-23
(45) Issued 2009-01-06
Deemed Expired 2013-10-29

Abandonment History

Abandonment Date Reason Reinstatement Date
2004-09-17 R30(2) - Failure to Respond 2005-04-19
2004-09-17 R29 - Failure to Respond 2005-04-19

Payment History

Fee Type Anniversary Year Due Date Amount Paid Paid Date
Application Fee $300.00 1998-10-27
Registration of a document - section 124 $100.00 1999-06-03
Maintenance Fee - Application - New Act 2 2000-10-27 $100.00 2000-10-24
Request for Examination $400.00 2001-10-23
Maintenance Fee - Application - New Act 3 2001-10-29 $100.00 2001-10-23
Maintenance Fee - Application - New Act 4 2002-10-28 $100.00 2002-10-21
Maintenance Fee - Application - New Act 5 2003-10-27 $150.00 2003-10-17
Maintenance Fee - Application - New Act 6 2004-10-27 $200.00 2004-10-04
Reinstatement for Section 85 (Foreign Application and Prior Art) $200.00 2005-04-19
Reinstatement - failure to respond to examiners report $200.00 2005-04-19
Maintenance Fee - Application - New Act 7 2005-10-27 $200.00 2005-10-05
Maintenance Fee - Application - New Act 8 2006-10-27 $200.00 2006-10-11
Maintenance Fee - Application - New Act 9 2007-10-29 $200.00 2007-09-26
Maintenance Fee - Application - New Act 10 2008-10-27 $250.00 2008-10-02
Final Fee $300.00 2008-10-16
Maintenance Fee - Patent - New Act 11 2009-10-27 $250.00 2009-09-22
Maintenance Fee - Patent - New Act 12 2010-10-27 $250.00 2010-10-06
Maintenance Fee - Patent - New Act 13 2011-10-27 $250.00 2011-10-03
Owners on Record

Note: Records showing the ownership history in alphabetical order.

Current Owners on Record
IMAX CORPORATION
Past Owners on Record
MURRAY, HUGH
Past Owners that do not appear in the "Owners on Record" listing will appear in other documentation within the application.
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Document
Description 
Date
(yyyy-mm-dd) 
Number of pages   Size of Image (KB) 
Representative Drawing 2000-04-26 1 9
Representative Drawing 2008-12-09 1 10
Claims 2005-04-19 5 141
Cover Page 2008-12-09 2 47
Claims 2007-07-09 5 145
Description 1998-10-27 31 1,400
Cover Page 2000-04-26 1 41
Abstract 1998-10-27 1 28
Claims 1998-10-27 5 153
Drawings 1998-10-27 12 162
Claims 2008-02-07 5 142
Prosecution-Amendment 2007-01-08 2 67
Correspondence 1998-12-15 1 31
Assignment 1998-10-27 2 87
Assignment 1999-06-03 2 125
Prosecution-Amendment 2001-10-23 1 33
Prosecution-Amendment 2002-03-07 3 132
Fees 2003-10-17 1 37
Fees 2000-10-24 1 33
Fees 2005-10-05 1 29
Fees 2002-10-21 1 39
Fees 2001-10-23 1 29
Prosecution-Amendment 2004-03-17 5 245
Fees 2004-10-04 1 35
Prosecution-Amendment 2005-04-19 18 678
Fees 2006-10-11 1 40
Prosecution-Amendment 2007-07-09 7 277
Prosecution-Amendment 2008-02-07 2 64
Correspondence 2008-10-16 1 37