A feature based approach to face recognition

B. S. Manjunath, R. Chellappa, C. Von Der Malsburg

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

Abstract

A feature-based approach to face recognition in which the features are derived from the intensity data without assuming any knowledge of the face structure is presented. The feature extraction model is biologically motivated, and the locations of the features often correspond to salient facial features such as the eyes, nose, etc. Topological graphs are used to represent relations between features, and a simple deterministic graph-matching scheme that exploits the basic structure is used to recognize familiar faces from a database. Each of the stages in the system can be fully implemented in parallel to achieve real-time recognition. Experimental results for a 128∗128 image with very little noise are evaluated.

Original languageEnglish (US)
Title of host publicationProceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE Computer Society
Pages373-378
Number of pages6
ISBN (Electronic)0818628553
DOIs
StatePublished - 1992
Externally publishedYes
Event1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States
Duration: Jun 15 1992Jun 18 1992

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume1992-June
ISSN (Print)1063-6919

Conference

Conference1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
Country/TerritoryUnited States
CityChampaign
Period6/15/926/18/92

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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