ML Anthology

Finding Faces in Photographs

A. N. Rajagopalan, K. Sunil Kumar, Jayashree Karlekar, R. Manivasakan, M. Milind Patil, Uday B. Desai, P. G. Poonacha, Subhasis Chaudhuri
ICCV 1998 pp. 640-645
doi:10.1109/ICCV.1998.710785 /iccv/1998/rajagopalan1998iccv-finding/

Abstract

Two new schemes are presented for Ending human faces in a photograph. The first scheme approximates the unknown distributions of the face and the face-like manifolds using higher order statistics (HOS). An HOS-based data clustering algorithm is also proposed, lit. the second scheme, the face to non-face and non-face to face transitions are learnt using a hidden Markov model (HMM). The HMM parameters are estimated corresponding to a given photograph and the faces are located by examining the optimal state sequence of the HMM. Experimental results are presented on the performance of both the schemes.

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Cite

Text

Rajagopalan et al. "Finding Faces in Photographs." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710785

Markdown

[Rajagopalan et al. "Finding Faces in Photographs." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/rajagopalan1998iccv-finding/) doi:10.1109/ICCV.1998.710785

BibTeX

@inproceedings{rajagopalan1998iccv-finding,
  title     = {{Finding Faces in Photographs}},
  author    = {Rajagopalan, A. N. and Kumar, K. Sunil and Karlekar, Jayashree and Manivasakan, R. and Patil, M. Milind and Desai, Uday B. and Poonacha, P. G. and Chaudhuri, Subhasis},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1998},
  pages     = {640-645},
  doi       = {10.1109/ICCV.1998.710785},
  url       = {https://mlanthology.org/iccv/1998/rajagopalan1998iccv-finding/}
}