A feature based approach to face recognition

Author

Manjunath, B.S. ; Chellappa, R. ; von der Malsburg, C.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

fYear

1992

fDate

15-18 Jun 1992

Firstpage

373

Lastpage

378

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

Keywords

feature extraction; database; deterministic graph-matching scheme; eyes; face recognition; feature based approach; feature extraction model; intensity data; nose; real-time recognition; Biological system modeling; Eyes; Face detection; Face recognition; Humans; Mouth; Nose; Spatial databases; Visual databases; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on

Conference_Location

Champaign, IL

ISSN

1063-6919

Print_ISBN

0-8186-2855-3

Type

conf

DOI

10.1109/CVPR.1992.223162

Filename

223162