Methods and apparatus for export of animation data to non-native articulation schemes

• US 7,944,449 B2
• Filed: 03/20/2009
• Issued: 05/17/2011
• Est. Priority Date: 05/14/2003
• Status: Active Grant

• Current Assignee: Pixar (The Walt Disney Company)
• Original Assignee: Pixar (The Walt Disney Company)
• Inventors: Petrovic, Lena, Anderson, John
• Primary Examiner(s): BROOME, SAID A
• Application Number:
  US12/408,585
• Publication Number:
  US 20090179900A1
• Time in Patent Office: 788 Days
• Field of Search: None
• US Class Current: 345/473
• CPC Class Codes: G06T 13/40 of characters, e.g. humans, animals or virtual beings

Abstract

A method for exporting animation data from a native animation environment to a non-native animation environment includes determining first object poses in response to a first object model in the native environment and animation variables, determining a second object model including a geometric object model, determining second object poses in response to the second object model and animation variables, determining surface errors between the first object poses and the second object poses, determining a corrective object offsets in response to the surface errors, determining actuation values associated with the corrective object offsets in response to the surface errors, determining a third object model compatible with the non-native animation environment in response to the second object of poses, the corrective offsets, and the actuation values, and storing the third object model in a memory.

Claims

1. A computer implemented method for exporting animation data from a first animation system to animation data for a second animation system in a computer system that is programmed to perform the method comprising:

determining by the computer system, a first plurality of poses associated with an object in response to a first model for the object in the first animation system and to a plurality of animation variables associated with the object in the computer system;

determining by the computer system, a second model for the object, wherein the second model comprises a geometric model of the object;

determining by the computer system, a second plurality of poses associated with the object in response to the second model for the object and to the plurality of animation variables in the computer system;

determining by the computer system, a plurality of surface errors in response to a comparison between the first plurality of poses and the second plurality of poses in the computer system;

determining by the computer system, a plurality of corrective offsets associated with the object in response to the plurality of surface errors in the computer system;

determining by the computer system, a plurality of actuation values associated with the plurality of corrective offsets in response to the plurality of surface errors and to the plurality of corrective offsets in the computer system;

determining by the computer system, a third model for the object compatible with the second animation system in response to the second plurality of poses, the plurality of corrective offsets, and the plurality of actuation values in the computer system; and

storing by the computer system, the third model for the object in a memory associated with the computer system.

2. The computer implemented method of claim 1 wherein determining the plurality of surface errors comprises:

determining by the computer system, a plurality of errors in response to a comparison between the first plurality of poses and the second plurality of poses; and

determining by the computer system, the plurality of surface errors by localizing errors from the plurality of errors.

3. The computer implemented method of claim 2 wherein the plurality of surface errors are geometrically localized.

4. The computer implemented method of claim 1 wherein the second model for the object comprises a plurality of coordinate frames and a plurality of frame weights.

5. The computer implemented method of claim 1 further comprising:

providing the third model for the object to a remote computer system having the second animation system;

determining a plurality of posed positions for the object in response to the second plurality of poses, the plurality of corrective offsets and the plurality of activation values in the second animation system in the remote computer system; and

determining a plurality of images in response to the plurality of posed positions for the object in the second animation system remote computer system.

6. The computer implemented method of claim 5 wherein the second animation system is selected from a group consisting of:

a real-time animation system, an entertainment system, a video game system, a crowd simulation system.

7. The computer implemented method of claim 1 wherein determining the plurality of surface errors comprises:

segmenting by the computer system, the first plurality of poses into a first plurality of pose segments;

segmenting by the computer system, the second plurality of poses into a second plurality of pose segments;

determining by the computer system, a plurality of surface error segments in response to the first plurality of pose segments and the second plurality of pose segments;

wherein the plurality of surface errors comprises the plurality of surface error segments.

8. The computer implemented method of claim 7 wherein

segmenting the first plurality of poses comprises determining by the computer system, a first pose segment and a second pose segment, wherein the first pose segment is associated with a first portion of the object that is different from a second portion of the object associated with the second pose segment;

wherein segmenting the second plurality of poses comprises determining by the computer system, a third pose segment and a fourth pose segment, wherein the third pose segment is associated with the first portion of the object that is different from the second portion of the object associated with the fourth pose segment;

wherein determining the plurality of surface error segments comprises;

determining by the computer system, a first surface error segment in response to the first pose segment and the third pose segment; and

determining by the computer system, a second surface error segment in response to the second pose segment and the fourth pose segment.

9. The computer implemented method of claim 8 wherein determining the second surface error segment is also in response to the first surface error segment.

10. A computer system for exporting animation data from a first animation system to animation data for a second animation system, the computer system comprising:

a memory configured to store a first model for an object within the first animation system, and configured to store a plurality of animation variables associated with the object; and

a processor coupled to the memory, wherein the processor is configured to determining a first plurality of poses associated with an object in response to a first model for the object in the first animation system and to a plurality of animation variables, configured to determine a second model for the object, wherein the second model comprises a geometric model of the object, configured to determine a second plurality of poses associated with the object in response to the second model for the object and to the plurality of animation variables, configured to determine a plurality of surface errors in response to a comparison between the first plurality of poses and the second plurality of poses, configured to determine a plurality of corrective offsets associated with the object in response to the plurality of surface errors in the computer system, configured to determine a plurality of actuation values associated with the plurality of corrective offsets in response to the plurality of surface errors and to the plurality of corrective offsets in the computer system, and configured to determine a third model for the object compatible with the second animation system in response to the second plurality of poses, the plurality of corrective offsets, and the plurality of actuation values;

wherein the memory is also configured to store the third model for the object compatible with the second animation system.

11. The computer system of claim 10

wherein the processor is also configured to determine a plurality of errors in response to a comparison between the first plurality of poses and the second plurality of poses, and configured to determine the plurality of surface errors by localizing errors from the plurality of errors;

wherein the plurality of surface errors are geometrically localized.

12. The computer system of claim 10 wherein the processor is also configured to provide the third model for the object to a remote computer system having the non second animation system, configured to determine a plurality of posed positions for the object in response to the second plurality of poses, the plurality of corrective offsets and the plurality of activation values in the second animation system in the remote computer system, and configured to determine a plurality of images in response to the plurality of posed positions for the object in the non second animation system remote computer system.

13. The computer system of claim 12 wherein the second animation system is selected from a group consisting of:

a real-time animation system, an entertainment system, a video game system, a crowd simulation system.

14. The computer system of claim 10

wherein the processor is also configured to segment the first plurality of poses into a first plurality of pose segments, configured to segment the second plurality of poses into a second plurality of pose segments, and configured to determine a plurality of surface error segments in response to the first plurality of pose segments and the second plurality of pose segments;

wherein the plurality of surface errors comprises the plurality of surface error segments.

15. The computer system of claim 14

wherein the processor is configured to determine a first pose segment and a second pose segment, wherein the first pose segment is associated with a first portion of the object that is different from a second portion of the object associated with the second pose segment, configured to determine a third pose segment and a fourth pose segment, wherein the third pose segment is associated with the first portion of the object that is different from the second portion of the object associated with the fourth pose segment, configured to determine a first surface error segment in response to the first pose segment and the third pose segment, and configured to determine a second surface error segment in response to the second pose segment and the fourth pose segment.

16. The computer system of claim 15 wherein the processor is configured to determine the second surface error segment in response to the first surface error segment.

17. A non-transitory computer program product for exporting animation data from a first animation system to animation data for a second animation system residing on a tangible medium and executable on a computer system including a processor and a memory comprising:

code that directs the processor to determine a first plurality of poses associated with an object in response to a first model for the object in the first animation system and to a plurality of animation variables associated with the object in the computer system;

code that directs the processor to determine a second model for the object, wherein the second model comprises a geometric model of the object;

code that directs the processor to determine a second plurality of poses associated with the object in response to the second model for the object and to the plurality of animation variables in the computer system;

code that directs the processor to determine a plurality of surface errors in response to a comparison between the first plurality of poses and the second plurality of poses in the computer system;

code that directs the processor to determining a plurality of corrective offsets associated with the object in response to the plurality of surface errors in the computer system;

code that directs the processor to determine a plurality of actuation values associated with the plurality of corrective offsets in response to the plurality of surface errors and to the plurality of corrective offsets in the computer system;

code that directs the processor to determine a third model for the object compatible with the second animation system in response to the second plurality of poses, the plurality of corrective offsets, and the plurality of actuation values in the computer system; and

code that directs the processor to store the third model for the object in the memory associated with the computer system.

18. The non-transitory computer program product of claim 17 further comprising:

code that directs the processor to determine a plurality of errors in response to a comparison between the first plurality of poses and the second plurality of poses; and

code that directs the processor to determine the plurality of surface errors by localizing errors from the plurality of errors.

19. The non-transitory computer program product of claim 17 further comprising:

code that directs the processor to provide the third model for the object to a remote computer system having the second animation system;

code that directs the processor to determine a plurality of posed positions for the object in response to the second plurality of poses, the plurality of corrective offsets and the plurality of activation values in the second animation system in the remote computer system; and

code that directs the processor to determine a plurality of images in response to the plurality of posed positions for the object in the second animation system remote computer system.

20. The non-transitory computer program product of claim 19 wherein the second animation system is selected from a group consisting of:

a real-time animation system, an entertainment system, a video game system, a crowd simulation system.

21. The non-transitory computer program product of claim 17 further comprising:

code that directs the processor to segment the first plurality of poses into a first plurality of pose segments;

code that directs the processor to segment the second plurality of poses into a second plurality of pose segments;

code that directs the processor to determine a plurality of surface error segments in response to the first plurality of pose segments and the second plurality of pose segments;

wherein the plurality of surface errors comprises the plurality of surface error segments.

22. The non-transitory computer program product of claim 21 further comprising:

code that directs the processor to determine a first pose segment and a second pose segment, wherein the first pose segment is associated with a first portion of the object that is different from a second portion of the object associated with the second pose segment;

code that directs the processor to determine a third pose segment and a fourth pose segment, wherein the third pose segment is associated with the first portion of the object that is different from the second portion of the object associated with the fourth pose segment;

code that directs the processor to determine a first surface error segment in response to the first pose segment and the third pose segment; and

code that directs the processor to determine a second surface error segment in response to the second pose segment and the fourth pose segment.

23. The non-transitory computer program product of claim 22 further comprising code that directs the processor to determine the second surface error segment also in response to the first surface error segment.

24. A computer implemented method for forming an improved model of an object in a computer system, performed by the computer system that is programmed to perform the method, comprising:

determining by the computer system, a first plurality of poses associated with an object in response to a first model for the object and to a plurality of animation variables associated with the object, wherein the first model comprises a plurality of coordinate frames;

determining by the computer system, a plurality of initial coordinate frame weights in response to the plurality of coordinate frames, and the plurality of animation values;

determining by the computer system, a second plurality of poses associated with the object in response to the plurality of coordinate frames, to the plurality of initial coordinate frame weights, and to the plurality of animation variables;

determining by the computer system, a first plurality of surface errors in response to the first plurality of poses and the second plurality of poses;

reallocating by the computer system, the plurality of initial coordinate frame weights to form a plurality of revised coordinate frame weights in response to the plurality of surface errors, wherein revised coordinate frame weights from the plurality of initial coordinate frame weights are non-negative;

determining by the computer system, a third plurality of poses associated with the object in response to the plurality of coordinate frames, to the plurality of revised coordinate frame weights, and to the plurality of animation variables;

forming by the computer system, a second model for the object in response to the plurality of coordinate frames and to the plurality of revised coordinate frame weights; and

storing the second model for the object in a memory of the computer system.

25. The computer implemented method of claim 24 wherein reallocating the plurality of initial coordinate frame weights to form the plurality of proposed coordinate frame weights comprises:

selecting by the computer system, a first pair of non-negative coordinate frame weights from the plurality of initial coordinate frame weights; and

reallocating by the computer system, weights between the first pair of non-negative coordinate frame weights in a first proportion.

26. The computer implemented method of claim 25 wherein reallocating the plurality of initial coordinate frame weights to form the plurality of proposed coordinate frame weights further comprises:

reallocating by the computer system, weights between the first pair of non-negative coordinate frame weights in a second proportion.

27. The computer implemented method of claim 25 further comprising:

determining by the computer system, a second plurality of surface errors in response to the first plurality of poses and the third plurality of poses;

determining by the computer system, a reduced error condition whether surface errors from the first plurality of surface errors exceed surface errors from the second plurality of surface errors; and

wherein forming the second model for the object is also in response to the reduced error condition.

28. The computer implemented method of claim 25 wherein reallocating the weights comprises:

subtracting by the computer system, a value from a first non-negative coordinate frame weight from the first pair; and

adding by the computer system, the value to a second non-negative coordinate frame weight from the first pair.

29. The computer implemented method of claim 24 wherein the first plurality of poses and the second plurality of poses are associated with a plurality of animation frames.

30. A computer system for forming an improved model of an object comprising:

a memory configured to store a first model for the object comprising a plurality of coordinate frames, and configured to store a plurality of animation variables associated with the object; and

a processor coupled to the memory, wherein the processor is configured to determine a first plurality of poses associated with an object in response to the first model for the object and to the plurality of animation variables associated with the object, configured to determine a plurality of initial coordinate frame weights in response to the plurality of coordinate frames, and the plurality of animation values, configured to determine a second plurality of poses associated with the object in response to the plurality of coordinate frames, to the plurality of initial coordinate frame weights, and to the plurality of animation variables, configured to determine a first plurality of surface errors in response to the first plurality of poses and the second plurality of poses, configured to reapportion the plurality of initial coordinate frame weights to form a plurality of revised coordinate frame weights in response to the plurality of surface errors, wherein revised coordinate frame weights from the plurality of initial coordinate frame weights are non-negative, configured to determine a third plurality of poses associated with the object in response to the plurality of coordinate frames, to the plurality of revised coordinate frame weights, and to the plurality of animation variables, and configured to form a second model for the object in response to the plurality of coordinate frames and to the plurality of revised coordinate frame weights; and

wherein the memory is also configured to store the second model for the object in a memory of the computer system.

31. The computer system of claim 30 wherein the processor is configured to select a first pair of non-negative coordinate frame weights from the plurality of initial coordinate frame weights, and configured to reapportion weights between the first pair of non-negative coordinate frame weights in a first proportion.

32. The computer system of claim 31 wherein the processor is configured to reapportion weights between the first pair of non-negative coordinate frame weights in a second proportion.

33. The computer system of claim 31 wherein the processor is configured to determine a second plurality of surface errors in response to the first plurality of poses and the third plurality of poses, configured to determine a reduced error condition whether surface errors from the first plurality of surface errors exceed surface errors from the second plurality of surface errors, and configured to form the second model for the object is in response to the reduced error condition.

34. The computer system of claim 30 wherein the processor is configured to subtract a value from a first non-negative coordinate frame weight from the first pair, and configured to add the value to a second non-negative coordinate frame weight from the first pair.

35. A non-transitory computer program product for forming an improved model of an object on a tangible medium and executable on a computer system including a processor and a memory comprising:

code that directs the processor to determine a first plurality of poses associated with the object in response to a first model for the object and to a plurality of animation variables associated with the object, wherein the first model comprises a plurality of coordinate frames;

code that directs the processor to determine a plurality of initial coordinate frame weights in response to the plurality of coordinate frames, and the plurality of animation values;

code that directs the processor to determine a second plurality of poses associated with the object in response to the plurality of coordinate frames, to the plurality of initial coordinate frame weights, and to the plurality of animation variables;

code that directs the processor to determine a first plurality of surface errors in response to the first plurality of poses and the second plurality of poses;

code that directs the processor to reallocate the plurality of initial coordinate frame weights to form a plurality of revised coordinate frame weights in response to the plurality of surface errors, wherein revised coordinate frame weights from the plurality of initial coordinate frame weights are non-negative;

code that directs the processor to determine a third plurality of poses associated with the object in response to the plurality of coordinate frames, to the plurality of revised coordinate frame weights, and to the plurality of animation variables;

code that directs the processor to form a second model for the object in response to the plurality of coordinate frames and to the plurality of revised coordinate frame weights; and

code that directs the processor to store the second model for the object in a memory of the computer system.

36. The non-transitory computer program product of claim 35 further comprising:

code that directs the processor to select a first pair of non-negative coordinate frame weights from the plurality of initial coordinate frame weights; and

code that directs the processor to reallocate weights between the first pair of non-negative coordinate frame weights in a first proportion.

37. The non-transitory computer program product of claim 36 further comprising code that directs the processor to redistribute weights between the first pair of non-negative coordinate frame weights in a second proportion.

38. The non-transitory computer program product of claim 35 further comprising:

code that directs the processor to determine a second plurality of surface errors in response to the first plurality of poses and the third plurality of poses;

code that directs the processor to determine a reduced error condition whether surface errors from the first plurality of surface errors exceed surface errors from the second plurality of surface errors; and

code that directs the processor to form the second model for the object in response to the reduced error condition.

39. The non-transitory computer program product of claim 35 wherein the first plurality of poses and the second plurality of poses are associated with a plurality of animation frames.