Human face recognition using Dempster-Shafer theory

Author

Ip, Horace H. S. ; Ng, James M C

Author_Institution

Dept. of Comput. Sci., City Polytech. of Hong Kong, Kowloon, Hong Kong

Volume

2

fYear

1994

fDate

13-16 Nov 1994

Firstpage

292

Abstract

This paper presents a novel approach to face recognition based on an application of the theory of evidence (Dempster-Shafer (1990) theory). Our technique makes use of a set of visual evidence derived from two projected views (frontal and profile) of the unknown person. The set of visual evidence and their associate hypotheses are subsequently combined using the Dempster´s rule to output a ranked list of possible candidates. Image processing techniques developed for the extraction of the set of visual evidence, the formulation of the face recognition problem within the framework of Dempster-Shafer theory and the design of suitable mass functions for belief assignment are discussed. The feasibility of the technique was demonstrated in an experiment

Keywords

face recognition; feature extraction; image recognition; Dempster-Shafer theory; belief assignment; experiment; frontal view; human face recognition; image feature extraction; image processing techniques; mass functions; profile; projected views; theory of evidence; visual evidence; Bridges; Face detection; Face recognition; Facial features; Feature extraction; Humans; Mouth; Nose; Robustness; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413578

Filename

413578