Expression-invariant 3D face recognition

Authors:
Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel
Affiliations:
Technion-Israel Institute of Technology, Department of Electrical Engineering, Haifa, Israel;Technion-Israel Institute of Technology, Department of Electrical Engineering, Haifa, Israel;Technion-Israel Institute of Technology, Department of Computer Science, Haifa, Israel
Venue:
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Year:
2003

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Abstract

We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facial surface, invariant to isometric deformations, such as those resulting from different expressions and postures of the face. The obtained geometric invariants allow mapping 2D facial texture images into special images that incorporate the 3D geometry of the face. These signature images are then decomposed into their principal components. The result is an efficient and accurate face recognition algorithm that is robust to facial expressions. We demonstrate the results of our method and compare it to existing 2D and 3D face recognition algorithms.