Animating Non-rigid Bodies using Motion Capture.

详细信息   

• 作者：Long ; Jie.
• 学历：Doctor
• 年：2013
• 导师：Jones,Michael D.,eadvisorEgbert,Parrisecommittee memberMorse,Bryanecommittee memberMercer,Ericecommittee memberWarnick,Seanecommittee member
• 毕业院校：Brigham Young University
• Department：Computer Science.
• ISBN：9781303095092
• CBH：3562094
• Country：USA
• 语种：English
• FileSize：16631717
• Pages：131

文摘

Simulating the motion of a non-rigid body under external forces is a difficult problem because of the complexity and flexibility of the non-rigid geometry and its associated dynamics. Physically based animation of objects moving in the wind is computationally expensive,so simulation-based approaches oversimplify the model by ignoring important effects,such as tree's sheltering. Motion capture records actual responses of a non-rigid body to external forces and helps solve these problems. Mainly focusing on natural trees and ropes as instances of non-rigid bodies,we present a new approach to building motion for objects in wind using incomplete motion capture data from non-rigid bodies. The incomplete motion capture data are automatically labeled by a cluster-based algorithm while noises are removed. For places with no motion capture data,we estimate forces and motion by interpolating the motion capture data according to the object's characteristics. We discuss a physically or statistically based approach to animate the whole non-rigid object. Basing our work on the collected motion capture data and the estimated motions,we can produce visually plausible and scalable animations of non-rigid objects under external forces at interactive frame rates.