Multi-view 3D Human Pose Estimation in Complex Environment-Reference-Cited by-同舟云学术

Multi-view 3D Human Pose Estimation in Complex Environment

Published:2011-05-01 Issue:1 Volume:96 Page:103-124
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Hofmann M.,Gavrila D. M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://www.springerlink.com/index/pdf/10.1007/s11263-011-0451-1

Reference66 articles.

1. Agarwal, A., & Triggs, B. (2006). Recovering 3D human pose from monocular images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(1), 44–58.

2. Andriluka, M., Roth, S., & Schiele, B. (2009). Pictorial structures revisited: people detection and articulated pose estimation. In Proc. of the IEEE conf. on computer vision and pattern recognition (CVPR).

3. Balan, A., & Black, M. (2006). An adaptive appearance model approach for model-based articulated object tracking. In Proc. of the IEEE conf. on computer vision and pattern recognition (CVPR).

4. Balan, A. O., Sigal, L., Black, M. J., Davis, J. E., & Haussecker, H. W. (2007). Detailed human shape and pose from images. In: CVPR (pp. 1–8).

5. Bergtholdt, M., Kappes, J., Schmidt, S., & Schnörr, C. (2010). A study of parts-based object class detection using complete graphs. International Journal of Computer Vision, 87(1–2), 93–117.

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