Title :
Face recognition by elastic bunch graph matching
Author :
Wiskott, Laurenz ; Fellous, Jean-Marc ; Kuiger, N. ; von der Malsburg, Christoph
Author_Institution :
Inst. for Neural Comput., Ruhr-Univ., Bochum, Germany
fDate :
7/1/1997 12:00:00 AM
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
Keywords :
face recognition; graph theory; spatial data structures; visual databases; wavelet transforms; Gabor wavelet transform; data structure; elastic bunch graph matching; face recognition; image graphs; labeled graphs; large database; node positioning; object-adapted graphs; phase information; Biology computing; Computer science; Data mining; Data structures; Face recognition; Frequency; Image databases; Image recognition; Wavelet coefficients; Wavelet transforms;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
