Face recognition by elastic bunch graph matching
Wiskott, L.
Fellous, J.-M.
Kuiger, N.
von der Malsburg, C.
Inst. for Neural Comput., Ruhr-Univ., Bochum;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1997
Volume: 19,
Issue: 7
On page(s): 775-779
ISSN: 0162-8828
References Cited: 12
CODEN: ITPIDJ
INSPEC Accession Number: 5661542
Digital Object Identifier: 10.1109/34.598235
Current Version Published: 2002-08-06
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 (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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