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Face recognition by elastic bunch graph matching

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4 Author(s)
Wiskott, L. ; Inst. for Neural Comput., Ruhr-Univ., Bochum, Germany ; Fellous, J.-M. ; Kuiger, N. ; von der Malsburg, C.

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 (Lades et al., 1993) 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 get of sample image graphs

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:19 ,  Issue: 7 )