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AVSS
2009
IEEE

Compact Signatures for 3D Face Recognition under Varying Expressions

9 years 3 months ago
Compact Signatures for 3D Face Recognition under Varying Expressions
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark distances within selected regions of interest to achieve robustness to expression variations. The inter-landmark distances are compressed through Principal Component Analysis and Linear Discriminant Analysis is then applied on the reduced features to maximize the separation between face classes. The classification of a probe face is based on a nearest mean classifier after transforming the probe onto the subspace. We analyze the performance of different landmark combinations (signatures) to determine a signature that is robust to expressions. The selected signature is then used to train a Point Distribution Model for the automatic localization of the landmarks, without any prior knowledge of scale, pose, orientation or texture. We evaluate the proposed approach on a challenging publicly available facial expr...
Fahad Daniyal, Prathap Nair, Andrea Cavallaro
Added 09 Jul 2010
Updated 09 Jul 2010
Type Conference
Year 2009
Where AVSS
Authors Fahad Daniyal, Prathap Nair, Andrea Cavallaro
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