Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

Title: Voxel-based 3D face representations for recognition

Author(s): A. B. Moreno, A. Sánchez, J. F. Vélez

Address: Escuela Superior de CC. Experimentales y Tecnología Universidad Rey Juan Carlos, 28933 Móstoles (Madrid); Spain | Escuela Superior de CC. Experimentales y Tecnología Universidad Rey Juan Carlos, 28933 Móstoles (Madrid); Spain | Escuela Superior de CC. Experimentales y Tecnología Universidad Rey Juan Carlos, 28933 Móstoles (Madrid); Spain

Reference: 12th International Workshop on Systems, Signals and Image Processing pp. 285 - 289

Abstract/Summary: In this paper we present and analyze new 3D voxel-based face representations for face recognition. They have been tested using two standard matching schemes: Support Vector Machines and Principal Component Analysis with Euclidean distance. Experiments were performed under both controlled and non-controlled acquisition conditions related to the pose and facial expressions. The highest recognition rates achieved are 77,86% for noncontrolled environments (considering the variability of the database images) and 90% for controlled environments, when a voxel-based representation is used. The dataset of images used for the experiments contains 427 3D facial images consisting in meshes without texture corresponding to 61 individuals having light rotations and facial expressions.

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