| 基于稀疏表示的人脸识别算法 |
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| 引用本文： | 赵璞,袁华.基于稀疏表示的人脸识别算法[J].大众科技,2014(4):32-34. |
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| 作者姓名： | 赵璞 袁华 |
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| 作者单位： | 桂林电子科技大学信息与通信学院,广西桂林541004 |
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| 基金项目： | 广西自然科学基金（No.2013G）（NSFDA019030,2013GXNsFAA019331,2012G）（NsFBA053014,2012G）（NSFAA053231）：广西科技计划项目（桂科攻1348020-6,桂科能1298025-7）;广西教育厅项目（No.201202ZD040,201202ZD044.2013YB091）. |
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| 摘 要： | 近年来,人脸识别一直是计算机视觉和模式识别领域一个很热门研究课题。随着压缩感知理论的发展,稀疏表示已经成功应用于人脸识别。文章系统地综述了人脸识别的研究现状、系统,并重点介绍了基于稀疏表示的人脸识别算法及求解,最后对人脸识别算法存在的问题以及发展进行了展望。
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| 关 键 词： | 人脸识别 压缩感知 稀疏表示 梯度投影法 同伦算法 |
Face recognition algorithm based on sparse representation |
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| Abstract: | Face recognition has been an active research topic in computer vision and pattern recognition in recent years. With the development of compressed sensing, the sparse representation based classification has been successfully used in face recognition. This paper systematically summarizes the research status of face recognition technology, system, and mainly introduces the algorithm of face recognition based on sparse representation and solving. Finally, the current existing problems and future development of face recognition algorithm is discussed. |
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| Keywords: | Face recognition compressed sensing sparse representation gradient projection homotopy methods |
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