Face recognition by elastic bunch graph matching

被引：1823
|
作者：
Wiskott, L
Fellous, JM
Kruger, N
vonderMalsburg, C
机构：
[1] RUHR UNIV BOCHUM,INST NEUROL COMPUTAT,D-44780 BOCHUM,GERMANY
[2] UNIV SO CALIF,DEPT COMP SCI,LOS ANGELES,CA 90089
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1997年 / 19卷 / 07期
关键词：
face recognition; different poses; Gabor wavelets; elastic graph matching; bunch graph; ARPA/ARL FERET database; Bochum database;
D O I：
10.1109/34.598235
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 [1] 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.
引用
收藏
页码：775 / 779
页数：5
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