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2008

3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions

10 years 1 months ago
3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions
Abstract. This paper presents an evaluation of several 3D face recognizers on the Bosphorus database which was gathered for studies on expression and pose invariant face analysis. We provide identification results of three 3D face recognition algorithms, namely generic face template based ICP approach, one-to-all ICP approach, and depth image-based Principal Component Analysis (PCA) method. All of these techniques treat faces globally and are usually accepted as baseline approaches. In addition, 2D texture classifiers are also incorporated in a fusion setting. Experimental results reveal that even though global shape classifiers achieve almost perfect identification in neutral-to-neutral comparisons, they are sub-optimal under extreme expression variations. We show that it is possible to boost the identification accuracy by focusing on the rigid facial regions and by fusing complementary information coming from shape and texture modalities.
Nese Alyüz, Berk Gökberk, Hamdi Dibeklio
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where BIOID
Authors Nese Alyüz, Berk Gökberk, Hamdi Dibeklioglu, Arman Savran, Albert Ali Salah, Lale Akarun, Bülent Sankur
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