ML Anthology

A Feature Based Approach to Face Recognition

B. S. Manjunath, Rama Chellappa, Christoph von der Malsburg
CVPR 1992 pp. 373-378
doi:10.1109/CVPR.1992.223162 /cvpr/1992/manjunath1992cvpr-feature/

Abstract

A feature-based approach to face recognition in which the features are derived from the intensity data without assuming any knowledge of the face structure is presented. The feature extraction model is biologically motivated, and the locations of the features often correspond to salient facial features such as the eyes, nose, etc. Topological graphs are used to represent relations between features, and a simple deterministic graph-matching scheme that exploits the basic structure is used to recognize familiar faces from a database. Each of the stages in the system can be fully implemented in parallel to achieve real-time recognition. Experimental results for a 128*128 image with very little noise are evaluated.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Manjunath et al. "A Feature Based Approach to Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223162

Markdown

[Manjunath et al. "A Feature Based Approach to Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/manjunath1992cvpr-feature/) doi:10.1109/CVPR.1992.223162

BibTeX

@inproceedings{manjunath1992cvpr-feature,
  title     = {{A Feature Based Approach to Face Recognition}},
  author    = {Manjunath, B. S. and Chellappa, Rama and von der Malsburg, Christoph},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {373-378},
  doi       = {10.1109/CVPR.1992.223162},
  url       = {https://mlanthology.org/cvpr/1992/manjunath1992cvpr-feature/}
}