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3D Face Modeling Using Image Warping in Pose-Invariant Face Recognition

机译:3d面部建模使用在姿势不变量的面孔识别的图象翘曲

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One of the key remaining problems in face recognition is that of handling the variability in appearance due to changes in pose. One strategy is to synthesize virtual face views from real views. In this paper, a new 3D face shape modeling algorithm -Orthogonal Reverse Projection Model (ORPM) is presented. Our method makes only use of two orthogonal real views of a face, i.e., the frontal and profile views. To obtain the 3D shape information of the face, a modified feature-based 2D image warping technique is employed to establish point correspondence between the frontal and profile views. Then the 3D face shape model is generated by orthogonal reverse projection using the corresponding point pairs. The virtual views can be synthesized by simply rotating the 3D face model. The modeling results suggest the validity of the ORPM algorithm for 3D face modeling and 2D face image synthesizing under different poses.
机译:面部识别中的一个关键问题之一是处理由于姿势的变化引起的外观变异性。一种策略是从真实视图综合虚拟脸部视图。本文介绍了一种新的3D面形建模算法 - 正交反向投影模型(ORPM)。我们的方法仅使用面部的两个正交真实视图,即正面和配置文件视图。为了获得面部的3D形状信息,采用修改的特征的2D图像翘曲技术来建立正面和简档视图之间的点对应。然后使用相应的点对通过正交反向投影产生3D面部形状模型。通过简单地旋转3D面部模型,可以合成虚拟视图。建模结果表明了在不同姿势下合成的3D面部建模和2D面图像的逆逆宫算法的有效性。

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