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View-Based and Modular Eigenspaces for Face Recognition

Alex Pentland, Baback Moghaddam, Thad Starner
CVPR 1994 pp. 84-91
doi:10.1109/CVPR.1994.323814 /cvpr/1994/pentland1994cvpr-view/

Abstract

We describe experiments with eigenfaces for recognition and interactive search in a large-scale face database. Accurate visual recognition is demonstrated using a database of O(10/sup 3/) faces. The problem of recognition under general viewing orientation is also examined. A view-based multiple-observer eigenspace technique is proposed for use in face recognition under variable pose. In addition, a modular eigenspace description technique is used which incorporates salient features such as the eyes, nose and mouth, in an eigenfeature layer. This modular representation yields higher recognition rates as well as a more robust framework for face recognition. An automatic feature extraction technique using feature eigentemplates is also demonstrated.< <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

Pentland et al. "View-Based and Modular Eigenspaces for Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323814

Markdown

[Pentland et al. "View-Based and Modular Eigenspaces for Face Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/pentland1994cvpr-view/) doi:10.1109/CVPR.1994.323814

BibTeX

@inproceedings{pentland1994cvpr-view,
  title     = {{View-Based and Modular Eigenspaces for Face Recognition}},
  author    = {Pentland, Alex and Moghaddam, Baback and Starner, Thad},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {84-91},
  doi       = {10.1109/CVPR.1994.323814},
  url       = {https://mlanthology.org/cvpr/1994/pentland1994cvpr-view/}
}