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Three-dimensional face recognition based on Dual-tree Complex Wavelet Transform and weighted spherical face representation

机译：基于双树复小波变换和加权球面表示的三维人脸识别

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摘要

A fully automatic framework is proposed for 3D face recognition and its performance is justified by the FRGC database. 3D facial representation extracted by the Dual-tree Complex Wavelet Transform (DT-CWT) is introduced to reflect the facial geometry properties. Low redundancy makes it more effective and efficient to describe the discriminant feature in 2.5D range data. In this paper, DT-CWT is used in conjunction with Weighted Spherical Face Representation to form a rejection classifier, which quickly eliminates a large number of candidate gallery faces. The remaining faces are then verified utilizing sparse representation based classification. Our method achieves the verification rate of 98.86% on All vs. All experiment at an FAR of 0.1%.
机译：提出了一种用于3D人脸识别的全自动框架，并通过FRGC数据库证明了其性能。引入了由双树复数小波变换（DT-CWT）提取的3D面部表示，以反映面部几何特性。低冗余性使得在2.5D范围数据中描述判别特征变得更加有效和高效。在本文中，DT-CWT与加权球形人脸表示结合使用以形成拒绝分类器，该分类器可快速消除大量候选画廊人脸。然后使用基于稀疏表示的分类来验证其余的面孔。在0.1％的FAR下，我们的方法在全部实验与全部实验中均达到了98.86％的验证率。

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