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Pixel-Based Correspondence for Facial Images

机译:人脸图像的基于像素的对应

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摘要

A pixel-based correspondence method is presented for representation of facial images. The proposed method consists of two modules: face-image matching and face-image morphing. In the face-image matching module, the correspondence between two images are calculated for all pixel locations. A novel area-based matching method is proposed that makes use of the concept of the fractal dimension, and develops a non-parametric local transform as a basis for establishing correspondence between two face images. In the face-image morphing module, a mapping is performed for deformation of the source face image onto the target face image. This is done to map the pixels in the source face image to the location of their corresponding pixels in the target image.
机译:提出了一种基于像素的人脸图像表示方法。所提出的方法包括两个模块:面部图像匹配和面部图像变形。在面部图像匹配模块中,针对所有像素位置计算两个图像之间的对应关系。提出了一种新颖的基于区域的匹配方法,该方法利用了分形维数的概念,并发展了一种非参数局部变换作为建立两个人脸图像之间对应关系的基础。在面部图像变形模块中,执行映射以将源面部图像变形为目标面部图像。这样做是为了将源面部图像中的像素映射到目标图像中其相应像素的位置。

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