计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 161-166.doi: 10.11896/j.issn.1002-137X.2016.11A.035
刘子渊,江艳霞,吴腾飞
LIU Zi-yuan, JIANG Yan-xia and WU Teng-fei
摘要： 快速稀疏描述分类法(FSRC)与协同描述分类法(CRC)是在压缩感知理论的基础上发展而来的,不同的侧重点限制了两者在人脸识别上的进一步提升。针对此,提出了融合快速稀疏描述与协同描述的人脸识别方法。首先,将人脸镜像图像引入样本库；然后,利用FSRC与CRC方法求解残差矩阵；最后,利用加权信息融合的方式将两者的残差矩阵进行权值加和,依据最小值所对应的位置信息 求取 识别率。公共人脸数据库的实验表明,所提方法优于FSRC,CRC及其他方法。
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