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3D face modeling from stereo and differential constraints

机译:3D面部建模从立体声和差分约束

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This paper proposes a way to incorporate a priori information in a 3D stereo reconstruction process from a pair of calibrated face images. In our framework, a 3D mesh modeling the surface is iteratively deformed in order to minimize an energy function in a snake-like process. Differential information about the object shape as used to generate an anisotropic mesh that can both fulfill the compacity and the accuracy requirements. Moreover, in areas where the stereo information is not reliable enough to accurately recover the surface shape, because of inappropriate texture or bad lighting conditions, we propose to incorporate some geometric constraints related to the differential properties of the surface. These constraints can be intuitive or can refer to some predefined geometric properties of the object to be reconstructed. They can be applied to scalar fields, such as curvature values, or structural features, such as crest lines, governing their location, number, or spatial organization. We demonstrate our approach using faces.
机译:本文提出了一种方法来在来自一对校准的面部图像中纳入3D立体声重建过程中的先验信息。在我们的框架中,表面的3D网格建模迭代地变形,以便最小化蛇状过程中的能量函数。关于用于生成可以满足兼容性和精度要求的各向异性网格的差分信息。此外,在立体声信息不足以准确地恢复表面形状的区域中,由于不适当的纹理或差的照明条件,我们建议将一些与表面的差分特性相关的几何约束。这些约束可以直观地或可以指的是要重建的对象的一些预定义的几何属性。它们可以应用于标量字段,例如曲率值,或结构特征,例如Crest线,管理其位置,数字或空间组织。我们展示了我们使用面部的方法。

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