View-Based and Modular Eigenspaces for Face Recognition (1994)
| Venue: | IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION & PATTERN RECOGNITION |
| Citations: | 562 - 13 self |
BibTeX
@INPROCEEDINGS{Pentland94view-basedand,
author = {Alex Pentland and Baback Moghaddam and Thad Starner},
title = {View-Based and Modular Eigenspaces for Face Recognition},
booktitle = {IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION & PATTERN RECOGNITION},
year = {1994},
publisher = {}
}
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Abstract
In this work 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(10^3) faces. The problem of recognition under general viewing orientation is also explained. 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, mouth, in a 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 demostrated.
