多尺度人脸特征提取

Multi-resolution Feature Extraction in Human Face

介绍了一种新的人脸特征提取的方法,首先在原始图像中找出人脸所在大致区域,然后对已经找出的人脸所在区域进行小波分解,并利用方块效应找出人眼及嘴部所在大致位置,最后提取眼、嘴的特征。试验结果表明,该方法对于人脸特征的提取具有较好的效果。

Paper presents a new method for feature extraction. In the first stage, the coarse face region is found from original image using generation method. In the second stage, the proposed method finds the coarse eye and mouth region from multi resolution image using wavelet transformation based on the edge distribution information in the different scale image. Then, the eye and mouths special site in the original image can be obtained. In the end, extract features of eye and month. The experimental results have shown that the proposed method can locate eyes accurately from the input image with complex background.