Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts

Author:

Kohli Pushmeet,Rihan Jonathan,Bray Matthieu,Torr Philip H. S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference37 articles.

1. Agarwal, A., & Triggs, B. (2004). 3D human pose from silhouettes by relevance vector regression. In: CVPR (Vol. II, pp. 882–888).

2. Agarwal, A., & Triggs, B. (2006). Recovering 3D human pose from monocular images. IEEE Trans. Pattern Anal. Mach. Intell., 28.

3. Blake, A., Rother, C., Brown, M., Pérez, P., & Torr, P. (2004). Interactive image segmentation using an adaptive gmmrf model. In: ECCV (Vol. I, pp. 428–441).

4. Boykov, Y., & Jolly, M. (2001). Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. In: ICCV (Vol. I, pp. 105–112).

5. Bray, M., Kohli, P., & Torr, P. H. S. (2006). Posecut: Simultaneous segmentation and 3D pose estimation of humans using dynamic graph-cuts. In: ECCV (Vol. 2, pp. 642–655).

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