Human face recognition using Dempster-Shafer theory

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

17 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number413578
Pages (from-to)292-295
Journal / PublicationProceedings - International Conference on Image Processing, ICIP
Volume2
Publication statusPublished - 1994

Conference

TitleProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3)
CityAustin, TX, USA
Period13 - 16 November 1994

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.