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Character Animation Keyframe animation Data-driven methods - PowerPoint PPT Presentation

Character Animation Keyframe animation Data-driven methods Dynamic controllers Physics-based optimization Hybrid methods Motion space Keyframe animation Data-driven methods Dynamics controllers highly dynamic motion


  1. Character Animation

  2. • Keyframe animation • Data-driven methods • Dynamic controllers • Physics-based optimization • Hybrid methods

  3. Motion space

  4. Keyframe animation

  5. Data-driven methods

  6. Dynamics controllers highly dynamic motion

  7. Physics-based optimization highly dynamic motion

  8. • Data-driven • Dynamic controllers • Physics-based optimization • Hybrid methods

  9. Goal and approach • Use large amount of motion capture data to create realistic, controllable character motion • Given a corpus of motion capture data, construct a directed graph that encapsulates the connections between motion clips • Once the motion graph is built, the system will automatically find a graph walk that meets the user’s specification

  10. • Data-driven • Dynamic controllers • Physics-based optimization • Hybrid methods

  11. Goal • Use control algorithms to simulate realistic maneuver for virtual human models

  12. Human model • 17 rigid bodies • 30 controlled dofs • body segment and density from biomechanical data • mass and inertia calculated from polygonal model

  13. Faloutsos et al. 2000 Yin et al. 2007

  14. • Data-driven • Dynamic controllers • Physics-based optimization • Hybrid methods

  15. Goal • Cast the motion synthesis into an optimization problem • Physics can be formulated into constraints • User preferences and “naturalness” of the motion can be formulated as an objective function

  16. input grasping pose input object motion 3. 1. 2.

  17. • Data-driven • Dynamic controllers • Physics-based optimization • Hybrid methods

  18. Goal • Combine the power of motion capture and physics • Simulate the motion when the character behaves passively • Use mocap data when the character’s motion requires sophisticated control

  19. NaturalMotion

  20. Data-driven vs. physics • Use data-driven methods when • data acquisition is easy • new motion is similar to existing data • physical response is not important • stable, long motion sequences are required • mocap experts are accessible

  21. Data-driven vs. physics • Use physics methods when • dynamical properties are important • simulating interaction with the environment • multiple characters are in the scene

  22. Evaluation • Looks good? • Side-by-side comparison • Perception studies

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