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A Novel and Accurate Local 3D Representation for Face Recognition

机译:一种新颖且准确的局部3D表示技术,用于人脸识别

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In this paper, we intend to introduce a novel curved 3D face representation. It is constructed on some static parts of the face which correspond to the nose and the eyes. Each part is described by the level curves of the superposition of several geodesic potentials generated from many reference points. We propose to describe the eye region by a bipolar representation based on the superposition of two geodesic potentials generated from two reference points and the nose by a three-polar one (three reference points). We use the BU-3DFE database of 3D faces to test the accuracy of the proposed approach. The obtained results in the sense of the Hausdorff shape distance prove the performance of the novel representation for 3D faces identification. The obtained scores are comparable to the state of the art methods in the most of cases.
机译:在本文中,我们打算介绍一种新颖的弯曲3D人脸表示。它被构造在脸部的一些静态部分上,这些部分与鼻子和眼睛相对应。每个部分都由从许多参考点生成的几个测地电势的叠加的水平曲线来描述。我们建议通过双极表示来描述眼睛区域,该双极表示基于从两个参考点生成的两个短程线电位和通过三个极点(三个参考点)生成的鼻子的叠加。我们使用3D人脸的BU-3DFE数据库来测试所提出方法的准确性。在Hausdorff形状距离的意义上获得的结果证明了新颖表示法在3D人脸识别中的性能。在大多数情况下,获得的分数与现有技术水平相当。

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