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Abstract: In this paper we describe experiments using eigenfaces for recognition and interactive search in the FERET face database. A recognition accuracy of 99.35% is obtained using frontal views of 155 individuals. This figure is consistent with the 95% recognition rate obtained previously on a much larger database of 7,562 "mugshots" of approximately 3,000 individuals, consisting of a mix of all age and ethnic groups. We also demonstrate that we can automatically determine head pose without... (Update)
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BibTeX entry: (Update)
B. Moghaddam and A. Pentland. Face recognition using view-based and modular eigenspaces. In Automatic Systems for the Identification and Inspection of Humans, SPIE, volume 2257, 1994. http://citeseer.ist.psu.edu/moghaddam94face.html More
@inproceedings{ moghaddam94face,
author = "Moghaddam, B. and Pentland, A.",
title = "Face Recognition using View-based and Modular Eigenspaces",
booktitle = "Automatic Systems for the Identification and Inspection of Humans, {SPIE'94}",
volume = "2257",
year = "1994",
url = "citeseer.ist.psu.edu/moghaddam94face.html" }
Citations (may not include all citations):
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View-based and modular eigenspaces for face recognition
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