High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps-Reference-Cited by-同舟云学术

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High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps

Published:2007-07-14 Issue:3 Volume:76 Page:283-300
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Wang Yang,Gupta Mohit,Zhang Song,Wang Sen,Gu Xianfeng,Samaras Dimitris,Huang Peisen

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-007-0063-y.pdf

Reference50 articles.

1. Akgul, Y., & Kambhamettu, C. (1999). Recovery and tracking of continuous 3d surfaces from stereo data using a deformable dual-mesh. In IEEE international conference on computer vision (pp. 765–772).

2. Allen, B., Curless, B., & Popović, Z. (2003). The space of human body shapes: reconstruction and parameterization from range scans. ACM Transactions on Graphics, 22(3), 587–594.

3. Basu, S., Oliver, N., & Pentland, A. (1998). 3d lip shapes from video: a combined physical-statistical model. Speech Communication, 26(1-2), 131–148.

4. Beauchemin, S. S., & Barron, J. L. (1995). The computation of optical flow. ACM Computing Surveys, 27(3), 433–466.

5. Besl, P., & McKay, N. (1992). A method for registration of 3-d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2).

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