| 姿态鲁棒的分块稀疏表示人脸识别算法 |
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| 引用本文： | 平强,庄连生,俞能海.姿态鲁棒的分块稀疏表示人脸识别算法[J].中国科学技术大学学报,2011(11). |
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| 作者姓名： | 平强 庄连生 俞能海 |
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| 作者单位： | 中国科学技术大学多媒体计算与通信教育部-微软重点实验室; |
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| 基金项目： | 国家自然科学基金重点项目(60933013);国家自然科学青年基金(61103134); 国家科技重大专项(2010ZX03004-003); 中央高校基本科研业务经费专项资金(WK210023002,WK2101020003)资助 |
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| 摘 要： | 针对稀疏表示人脸识别算法对姿态变化敏感的问题,提出一种姿态鲁棒的分块稀疏表示人脸识别算法,通过对人脸进行分块表示并利用仿射变换模型对姿态变化建模,提高稀疏表示人脸识别算法对姿态变化的鲁棒性.同时,通过最小化图像分块重构误差来估计仿射变换参数初值,有效提高仿射变换参数估计精度,进而提升人脸识别算法的性能.实验结果表明,本文算法可在一定程度上克服姿态变化造成的对齐误差,比现有相关算法具有更好的姿态鲁棒性和识别性能.
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| 关 键 词： | 人脸识别 稀疏表示 仿射变换 分块表示 |
Pose-robust face recognition via part-based sparse representation |
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| PING Qiang,ZHUANG Liansheng,YU Nenghai.Pose-robust face recognition via part-based sparse representation[J].Journal of University of Science and Technology of China,2011(11). |
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| Authors: | PING Qiang ZHUANG Liansheng YU Nenghai |
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| Affiliation: | PING Qiang,ZHUANG Liansheng,YU Nenghai(MOE-MS Key Laboratory of Multimedia Computing and Communication,University of Science and Technology of China,Hefei 230027,China) |
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| Abstract: | Considering that sparse representation based classification(SRC) is sensitive to pose variation,a novel pose-robust face recognition algorithm via part-based sparse representation(PSRC) was proposed.In PSRC,an image was represented by a set of local regions first,and then the affine transformation model was used to model the pose variation.In this way,PSRC can efficiently improve the robustness of pose variation.Meanwhile,to improve the estimation accuracy of transformation parameters,PSRC got an initial es... |
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| Keywords: | face recognition sparse representation affine transformation part-based representation |
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