ML Anthology

The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation

Jonathan Taylor, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon
CVPR 2012 pp. 103-110
doi:10.1109/CVPR.2012.6247664 /cvpr/2012/taylor2012cvpr-vitruvian/
CVPR Semantic Scholar

Cite

Text

Taylor et al. "The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247664

Markdown

[Taylor et al. "The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/taylor2012cvpr-vitruvian/) doi:10.1109/CVPR.2012.6247664

BibTeX

@inproceedings{taylor2012cvpr-vitruvian,
  title     = {{The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation}},
  author    = {Taylor, Jonathan and Shotton, Jamie and Sharp, Toby and Fitzgibbon, Andrew W.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {103-110},
  doi       = {10.1109/CVPR.2012.6247664},
  url       = {https://mlanthology.org/cvpr/2012/taylor2012cvpr-vitruvian/}
}