Three-dimensional face recognition
Three-dimensional face recognition
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DOI：
10.1007/s11263-005-1085-y
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发表时间：
2005-08-01
影响因子：
19.5
通讯作者：
Kimmel, R
中科院分区：
文献类型：
--
作者：
Bronstein, AM;Bronstein, MM;Kimmel, R
提出了一种表情不变的三维人脸识别方法。我们的基本假设是，面部表情可以建模为面部表面的等距。这允许使用弯曲不变规范形式方法来构建面部的表达不变表示。其结果是一种高效准确的人脸识别算法，对面部表情具有鲁棒性，可以区分同卵双胞胎（前两位作者）。我们展示了一个原型系统的基础上提出的算法，并比较其性能与经典的人脸识别方法。我们的方法所采用的数值方法不需要明确的面部表面。表面梯度场或表面度量足以构建任何给定人脸的表情不变表示。它允许我们执行3D人脸识别任务，同时避免表面重建阶段。
An expression-invariant 3D face recognition approach is presented. Our basic assumption is that facial expressions can be modelled as isometries of the facial surface. This allows to construct expression-invariant representations of faces using the bending-invariant canonical forms approach. The result is an efficient and accurate face recognition algorithm, robust to facial expressions, that can distinguish between identical twins (the first two authors). We demonstrate a prototype system based on the proposed algorithm and compare its performance to classical face recognition methods.The numerical methods employed by our approach do not require the facial surface explicitly. The surface gradients field, or the surface metric, are sufficient for constructing the expression-invariant representation of any given face. It allows us to perform the 3D face recognition task while avoiding the surface reconstruction stage.