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3-D facial image analysis by wavelet transform: extraction of facial individuality by wavelet coefficient of 3-D facial image

机译:基于小波变换的3D面部图像分析:基于3D面部图像的小波系数提取面部个性

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摘要

Face has three-dimensional structure. If we are able to facial Analysis using 3-D information by Laser Range Finder (LRF), expect to high-precision and pervasive facial image analysis based on conventional technology. In this paper, we make 3-D information Multi-Resolution Analysis (MRA) by Wavelet transform, and try to extraction of facial Individuality by Wavelet coefficient of 3-D facial image.
机译:脸部具有三维结构。如果我们能够通过激光测距仪(LRF)使用3-D信息进行面部分析,则可以期望基于常规技术进行高精度和普及的面部图像分析。本文通过小波变换进行3-D信息多分辨率分析(MRA),并尝试通过3-D人脸图像的小波系数提取人脸个性。

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