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LBP

于 2014-03-10 发布文件大小:1337KB

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为了有效提取面邵表情特征，提出了一种新的基于LBP(局邵二值模式)特征的人脸表情识别特征提取方法首先用均值方差法对表情图像进行灰度规一化，通过对图像进行积分投影，定位出眉毛、眼睛、鼻和嘴巴这些关键特征点，进而划分出各特征邵件所在子区域，然后对子区域进行分块，提取各个子区域的分块LBP直方图特征(Abstract: In order to effectively extract facial expression feature,a novel facial feature extraction approach for facial expression recognition based on Local Binary Pattern(LBP) is proposed in the paper )

文件列表：

人脸表情的LBP特征分析_刘伟锋.caj,1421678,2014-03-04

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