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On Decomposing an Unseen 3D Face into Neutral Face and Expression Deformations
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@MISC{Al-osaimi_ondecomposing,
author = {Faisal R. Al-osaimi and Mohammed Bennamoun and Ajmal Mian},
title = {On Decomposing an Unseen 3D Face into Neutral Face and Expression Deformations},
year = {}
}
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Abstract
Abstract. This paper presents a technique for decomposing an unseen 3D face under any facial expression into an estimated 3D neutral face and expression deformations (the shape residue between the non-neutral and the estimated neutral 3D face). We show that this decomposition gives a robust facial expression classification and improves the accuracy of an off-the-shelf 3D face recognition system. The proposed decomposition system is a multistage data-driven process in which training expression residues and neutral faces reciprocally guide the decomposition of the 3D face. A plausible decomposition was achieved. The shapes and the normals of the expression residue are used for expression classification while the neutral face estimates are used for expression robust face recognition. Experiments were performed on a large number of non-neutral scans and significant expression classification rates were achieved. Moreover, 6 % increase in face recognition rate was achieved for probes with severe facial expressions. 1
Keyphrases
neutral face expression deformation expression residue non-neutral scan plausible decomposition face recognition rate expression classification robust facial expression classification facial expression severe facial expression face recognition system shape residue large number multistage data-driven process decomposition system neutral face estimate significant expression classification rate expression robust face recognition
