IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):775-779 (1997) (bibtex,

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Face recognition by elastic bunch graph matching.

Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, and Christoph von der Malsburg

Abstract: We present a system for recognizing human faces from single images out of a large database containing one image per person. Faces are represented by labeled graphs, based on a Gabor wavelet transform. Image graphs of new faces are extracted by an elastic graph matching process and can be compared by a simple similarity function. The system differs from the preceding one [LadVorBuh93] in three respects. Phase information is used for accurate node positioning. Object-adapted graphs are used to handle large rotations in depth. Image graph extraction is based on a novel data structure, the bunch graph, which is constructed from a small set of sample image graphs.

Keywords: face recognition, different poses, Gabor wavelets, elastic graph matching, bunch graph, ARPA/ARL FERET database

Relevant Project:

August 1, 1997, Laurenz Wiskott,