ML Anthology

Real-Time Hand Pose Recognition Using Low-Resolution Depth Images

Zhenyao Mo, Ulrich Neumann
CVPR 2006 pp. 1499-1505
doi:10.1109/CVPR.2006.237 /cvpr/2006/mo2006cvpr-real/

Abstract

Gesture recognition methods based on intensity or color images often suffer from low efficiency and lack of robustness. In this paper, we employ a new laser-based camera that produces reliable low-resolution depth images at video rates. By decomposing and recognizing hand poses as finger states (finger poses and finger inter-relations), we achieve robust hand pose recognition in real-time (30 frames/second).

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Cite

Text

Mo and Neumann. "Real-Time Hand Pose Recognition Using Low-Resolution Depth Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.237

Markdown

[Mo and Neumann. "Real-Time Hand Pose Recognition Using Low-Resolution Depth Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/mo2006cvpr-real/) doi:10.1109/CVPR.2006.237

BibTeX

@inproceedings{mo2006cvpr-real,
  title     = {{Real-Time Hand Pose Recognition Using Low-Resolution Depth Images}},
  author    = {Mo, Zhenyao and Neumann, Ulrich},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {1499-1505},
  doi       = {10.1109/CVPR.2006.237},
  url       = {https://mlanthology.org/cvpr/2006/mo2006cvpr-real/}
}