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压缩域上人脸识别的研究 被引量：1

Face Recognition in Compressed Domain
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摘要 DCT变换被广泛采用在图象和视频压缩标准中(如JPEG,MPEG,H 261 H 263) 而对于这些压缩图象的处理,传统的手段是先解压到空间域,再进行处理和识别,因而增加了计算复杂性。针对这个问题,运用压缩域上图像处理技术,提出了人脸特征表达的方法,并构造DCT域上人脸识别系统。在人脸标准库FERET上的测试,提出的算法与经典的特征脸法和PCA+LDA法相比较,不仅提高了精度,而且降低了计算复杂性。 The discrete cosine transform is widely used in digital compression techniques for images and videos. The conventional approaches for the compressed image processing is to transfer the image to the spatial domain first, then to employ the traditional image processing techniques in spatial domain. This is certainly computational cost.A method is proposed for representing face feature directly extracted in compressed domain of JPEG, and a face recognition system in DCT domain is established. The experiments on FERET face database show the proposed algorithm can achieve higher recognition rate and lower the computational cost in comparison with that of eigenface and PCA+LDA.
作者 廖红文 冯国灿 Jiang Jianmin
机构地区 中山大学数学与计算科学学院 School of Informatics
出处 《中山大学学报（自然科学版）》 CAS CSCD 北大核心 2004年第5期16-19,共4页 Acta Scientiarum Naturalium Universitatis Sunyatseni
基金 教育部重点基金资助项目(104145) 广东省自然科学基金资助项目(031609)
关键词 人脸识别 余弦变换(DCT) 主成分分析(PCA) 压缩域 face recognition discrete cosine transform principal component analysis compressed domain
分类号 O29 [理学—应用数学] TN911.73 [电子电信—通信与信息系统]
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参考文献10

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共引文献44

同被引文献6

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引证文献1

中山大学学报（自然科学版）
2004年 第5期

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