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.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Human face recognition using Dempster-Shafer theory


    Contributors:
    Ip, H.H.S. (author) / Ng, J.M.C. (author)


    Publication date :

    1994-01-01


    Size :

    303454 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Human Face Recognition using Dempster-Shafer Theory

    Ip, H. H. S. / Ng, J. M. C. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Competing Failure Risk Analysis Using Dempster-Shafer Theory

    Oberkampf, William / Helton, Jon / Johnson, Jay | AIAA | 2003


    Occupancy grid mapping using the Dempster-Shafer-Theory

    Konrad, Marcus / Dietmayer, Klaus | Tema Archive | 2010


    Competing Failure Risk Analysis Using Dempster-Shafer Theory

    Oberkampf, W. / Helton, J. / Johnson, J. et al. | British Library Conference Proceedings | 2003


    Map matching algorithm using interval analysis and Dempster-Shafer theory

    Nassreddine, Ghalia / Abdallah, Fahed / Denoeux, Thierry | IEEE | 2009