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Abstract: We present a system for recognizing human faces from single images out of a large database containing one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise face descriptions in the form of image graphs. In these, ducial points on the face (eyes, mouth, etc.) are described by sets of wavelet components (jets). Image graph extraction is based on a novel approach, the ... (Update)
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BibTeX entry: (Update)
L. Wiskott, J.-M. Fellous, N. Kruger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching," Tech. Rep. IR-INI 96-08, Institut fur Neuroinformatik, Ruhr-Universitat Bochum, D44780 Bochum, Germany, 1996. http://citeseer.ist.psu.edu/wiskott99face.html More
@inproceedings{ wiskott97face,
author = "Laurenz Wiskott and Jean-Marc Fellous and Norbert Kr{\"u}ger and Christoph von der Malsburg",
title = "Face Recognition by Elastic Bunch Graph Matching",
booktitle = "Proc.\ 7th Intern.\ Conf.\ on Computer Analysis of Images and Patterns, {CAIP}'97, Kiel",
number = "1296",
publisher = "Springer-Verlag",
address = "Heidelberg",
editor = "Gerald Sommer and Kostas Daniilidis and Josef Pauli",
pages = "456--463",
year = "1997",
url = "citeseer.ist.psu.edu/wiskott99face.html" }
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