Description:
Explore geometric deformation techniques for virtual character animation in this 47-minute lecture from the Fields Institute's Mini-symposium on Sensor Network Localization and Dynamical Distance Geometry. Delve into Tomohiko Mukai's research on motion adaptation using spacetime optimization, focusing on representing character motion as a spatiotemporal graph and deforming it to satisfy constraints while minimizing errors. Learn about optical motion capture systems, adaptation of MOCAP data, pose deformation, and optimization-based retargeting. Examine various applications including reaching motions, tennis backhand strokes, walking on stairs, and multi-character interactions. Gain insights into the pros and cons of this approach and explore the concept of egocentric constraint mapping for motion editing.
Geometric Deformation of Virtual Character Animation Using Cascaded Spacetime Constraints
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