ML Anthology

Real-Time Detection and Understanding of Isolated Protruded Fingers

Sharat Chandran, Abhineet Sawa
CVPRW 2004 pp. 152
doi:10.1109/CVPR.2004.426 /cvprw/2004/chandran2004cvprw-realtime/

Abstract

Making sense of hand gestures in applications such as novel user interfaces is an active area of research. Many current methods use complex 3D model of non-rigid hands and involved paradigms in solving the general problem. In this paper we look at a subproblem of sign language alphabet recognition where gestures are made with protruded fingers. In contrast to the more intricate schemes, we propose a simple, fast classification algorithm using two dimensional projection of Euler angles. Not only is our scheme novel, it lends itself to a real time implementation.

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Cite

Text

Chandran and Sawa. "Real-Time Detection and Understanding of Isolated Protruded Fingers." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004. doi:10.1109/CVPR.2004.426

Markdown

[Chandran and Sawa. "Real-Time Detection and Understanding of Isolated Protruded Fingers." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004.](https://mlanthology.org/cvprw/2004/chandran2004cvprw-realtime/) doi:10.1109/CVPR.2004.426

BibTeX

@inproceedings{chandran2004cvprw-realtime,
  title     = {{Real-Time Detection and Understanding of Isolated Protruded Fingers}},
  author    = {Chandran, Sharat and Sawa, Abhineet},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2004},
  pages     = {152},
  doi       = {10.1109/CVPR.2004.426},
  url       = {https://mlanthology.org/cvprw/2004/chandran2004cvprw-realtime/}
}