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Information Journal Paper

Title

3D FACE RECOGNITION USING PATCH GEODESIC DERIVATIVE PATTERN

Pages

  127-132

Abstract

 In this paper, a novel Patch Geodesic Derivative Pattern (PGDP) describing the texture map of a face through its shape data is proposed. Geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3D images with different pose and expression variations. An extensive experimental investigation is conducted using the publicly available Bosphorus and BU-3DFE databases covering face recognition under pose and expression changes. The performance of the proposed method is compared with the performance of the state-of-the-art benchmark approaches. The encouraging experimental results demonstrate that the proposed method is a new solution for 3D face recognition in single model databases.

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    APA: Copy

    GHEISARI, SOHEILA, JAVADI, SHAHRAM, & KASHANINYA, ALIREZA. (2013). 3D FACE RECOGNITION USING PATCH GEODESIC DERIVATIVE PATTERN. INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING, 2(3), 127-132. SID. https://sid.ir/paper/624021/en

    Vancouver: Copy

    GHEISARI SOHEILA, JAVADI SHAHRAM, KASHANINYA ALIREZA. 3D FACE RECOGNITION USING PATCH GEODESIC DERIVATIVE PATTERN. INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING[Internet]. 2013;2(3):127-132. Available from: https://sid.ir/paper/624021/en

    IEEE: Copy

    SOHEILA GHEISARI, SHAHRAM JAVADI, and ALIREZA KASHANINYA, “3D FACE RECOGNITION USING PATCH GEODESIC DERIVATIVE PATTERN,” INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING, vol. 2, no. 3, pp. 127–132, 2013, [Online]. Available: https://sid.ir/paper/624021/en

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