Title :
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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413578
