NDLI: Face recognition by elastic bunch graph matching (1997).

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Face recognition by elastic bunch graph matching (1997).

Content Provider	CiteSeerX
Author	Wiskott, Laurenz Fellous, Jean-Marc Krüger, Norbert Malsburg, Christoph Von Der
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 [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. Index Terms: face recognition, different poses, Gabor wavelets, elastic graph matching, bunch graph, ARPA/ARL FERET database, Bochum database. 1 Introduction The system presented here is based on a face recognition system described in [1]. In this preceding system, individual faces were represented by a rectangular graph, each node labele...
File Format	PDF
Publisher Date	1997-01-01
Access Restriction	Open
Subject Keyword	Face Recognition Elastic Bunch Graph Matching Bunch Graph Preceding System Image Graph Extraction Single Image Face Recognition System Phase Information Simple Similarity Function Elastic Graph Small Set Different Pose Large Database Index Term Large Rotation Object-adapted Graph Labeled Graph Node Labele Novel Data Structure System Differs Image Graph Accurate Node Elastic Graph Matching Gabor Wavelet Transform Bochum Database Arpa Arl Feret Database Gabor Wavelet Sample Image Graph Rectangular Graph
Content Type	Text

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