Face recognition by elastic bunch graph matching

Laurenz Wiskott, Jean Marc Fellous, Norbert Krüger, Christoph Von der Malsburg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

78 Scopus citations


We present a system for recognizing human faces from single images out of a large database with one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise face descriptions in the form of image graphs. In these, fiducial points on the face (eyes, mouth etc.) are described by sets of wavelet components (jets). Image graph extraction is based on a novel approach, the bunch graph, which is constructed from a small set of sample image graphs. Recognition is based on a straight-forward comparison of image graphs. We report recognition experiments on the FERET database and the Bochum database, including recognition across pose.

Original languageEnglish (US)
Title of host publicationComputer Analysis of Images and Patterns - 7th International Conference, CAIP 1997, Proceedings
EditorsGerald Sommer, Kostas Daniilidis, Josef Pauli
Number of pages8
ISBN (Print)3540634606, 9783540634607
StatePublished - 1997
Event7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997 - Kiel, Germany
Duration: Sep 10 1997Sep 12 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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