Geometric Deformation of Virtual Character Animation Using Cascaded Spacetime Constraints

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.