This paper presents a 3D face recognition method aimed to biometric applications. The proposed method compares any two faces represented as 3D polygonal surfaces through their corresponding normal map, a bidimensional array which stores local curvature (mesh normals) as the pixel's RGB components of a color image. The recognition approach, based on the computation of a difference map resulting from the comparison of normal maps, is simple yet fast and accurate. A weighting mask, automatically generated for each subject using a set of expression variations, improves the robustness to a broad range of facial expressions. First results show the effectiveness of the method on a database of 3D faces featuring different genders, ages and expressions.


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    Title :

    Fast 3D face recognition based on normal map


    Contributors:
    Abate, A.F. (author) / Nappi, M. (author) / Ricciardi, S. (author) / Sabatino, G. (author)


    Publication date :

    2005-01-01


    Size :

    372685 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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