Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


BIOSIG 2011 Proceedings - international conference of the biometrics special interest group P-191, 211-218 (2011).

Gesellschaft für Informatik, Bonn
2011


Copyright © Gesellschaft für Informatik, Bonn

Contents

3D face recognition in the presence of 3D model degradations

Pierre Lemaire , Di Huang , Joseph Colineau , Mohsen Ardabilian and Liming Chen

Abstract


The problem of 3D face recognition has received a growing interest in the past decades. While proposed approaches have proven their efficiency over renowned databases as FRGC, little work has been conducted on the robustness of such algorithm to the quality of 3D models. In this work, we present a study of the robustness of our 3D face recognition algorithm, namely MS-ELBP+SIFT, to face model degradations. Those degradations include Gaussian noise, decimation, and holes. Degradations are generated on a subset of the FRGC database, hence enabling us to compare the robustness of our approach to them. Results are provided through a comparative study with the baseline ICP method.


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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-285-7


Last changed 04.10.2013 18:36:42