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首页> 外文会议>IAPR TC3 Workshop on pattern recognition of social signals in human-computer-interaction >Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models
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Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models

机译：使用非线性照明模型进行3D人脸重建的光度立体

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摘要

Face recognition in presence of illumination changes, variant pose and different facial expressions is a challenging problem. In this paper, a method for 3D face reconstruction using photometric stereo and without knowing the illumination directions and facial expression is proposed in order to achieve improvement in face recognition. A dimensionality reduction method was introduced to represent the face deformations due to illumination variations and self shadows in a lower space. The obtained mapping function was used to determine the illumination direction of each input image and that direction was used to apply photometric stereo. Experiments with faces were performed in order to evaluate the performance of the proposed scheme. From the experiments it was shown that the proposed approach results very accurate 3D surfaces without knowing the light directions and with a very small differences compared to the case of known directions. As a result the proposed approach is more general and requires less restrictions enabling 3D face recognition methods to operate with less data.
机译：存在照明变化，变化的姿势和不同的面部表情的面部识别是一个具有挑战性的问题。在本文中，提出了一种在不知道照明方向和面部表情的情况下使用光度立体图像进行3D面部重建的方法，以实现面部识别的改进。引入了降维方法来表示由于较低空间中的照明变化和自阴影导致的脸部变形。所获得的映射函数用于确定每个输入图像的照明方向，并且该方向用于应用光度立体。为了评估所提出的方案的性能，进行了带有面部的实验。从实验中可以看出，所提出的方法可在不知道光方向的情况下产生非常精确的3D表面，并且与已知方向的情况相比差异很小。结果，所提出的方法更加通用并且需要更少的限制，从而使3D人脸识别方法能够以更少的数据进行操作。

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