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Proceedings Paper

3D face recognition based on matching of facial surfaces
Author(s): Beatriz Adriana Echeagaray-Patrón; Vitaly Kober
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Paper Abstract

Face recognition is an important task in pattern recognition and computer vision. In this work a method for 3D face recognition in the presence of facial expression and poses variations is proposed. The method uses 3D shape data without color or texture information. A new matching algorithm based on conformal mapping of original facial surfaces onto a Riemannian manifold followed by comparison of conformal and isometric invariants computed in the manifold is suggested. Experimental results are presented using common 3D face databases that contain significant amount of expression and pose variations.

Paper Details

Date Published: 9 September 2015
PDF: 8 pages
Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 95980V (9 September 2015); doi: 10.1117/12.2186695
Show Author Affiliations
Beatriz Adriana Echeagaray-Patrón, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9598:
Optics and Photonics for Information Processing IX
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Mireya García Vázquez; Andrés Márquez, Editor(s)

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