A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Turning to the masters: motion capturing cartoons
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2006 Papers
Video-guided motion synthesis using example motions
ACM Transactions on Graphics (TOG)
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Recently non-photorealistic rendering (NPR) has been brought to public attention. It causes the interests of non-photorealistic animation and motion (NPA), also. NPAR easily attracts the attention, but is very subjective field. That is, the results of NPAR are not predictable and have the ambiguity. We would like to introduce 3D NPA motion generation method and system. Among the NPA motions, cartoon motion is most universal and is the representative motion. In this paper, we target the cartoon motion to generate by our system. Cartoon motion is highly imaginative and exaggerated, and it is hard to be made. To solve this problem, our system captures the motion of 3D character from 2D cartoon video.