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3D FACE RECOGNITION METHOD BASED ON INTERMEDIATE FREQUENCY INFORMATION IN GEOMETRIC IMAGE
3D FACE RECOGNITION METHOD BASED ON INTERMEDIATE FREQUENCY INFORMATION IN GEOMETRIC IMAGE
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机译:基于几何图像中间频率信息的3D人脸识别方法
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摘要
A 3D face recognition method based on intermediate frequency information in a geometric image as follows: (1) preprocessing a library and test models of 3D faces, including 3D face area cutting, smoothing processing and point cloud thinning, and discarding the lower portion of the face; (2) mapping the remainder of the face to a 2D grid using grid parameters, and performing linear interpolation on the 3D coordinates of the grid top to acquire the 3D coordinate attributes and generating a geometric image of a 3D face model; (3) performing multi-scale filtering with a multi-scale Haar wavelet filter to extract horizontal, vertical, and diagonal intermediate frequency information image images as invariable facial features; (4) calculating the similarity between the test model and the library set model with a wavelet domain structuring similarity algorithm; and (5) judging the test and library set model models with the maximum similarity belong to the same person.
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