Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (1): 158-161.DOI: 10.11772/j.issn.1001-9081.2014.01.0158
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FENG Junpeng,YANG Huixian,CAI Yongyong,ZHAi Yunlong,LI Qiuqiu
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奉俊鹏,杨恢先,蔡勇勇,翟云龙,李球球
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基金资助:
湖南省教育厅资助科研项目;湘潭大学资助科研项目
Abstract: Concerning the low accuracy of face recognition systems, a face recognition algorithm based on Histograms of Nonsubsampled contourlet Oriented Gradient (HNOG) was proposed. Firstly, a face image was decomposed with Non-Subsampled Contourlet Transform (NSCT) and the coefficients were divided into several blocks. Then histograms of oriented gradient were calculated all over the blocks and used as face features. Finally, multi-channel nearest neighbor classifier was used to classify the faces. The experimental results on YALE , ORL and CAS-PEAL-R1 face databases show that the descriptor HNOG is discriminative, the feature dimension is small and the feature is robust to variations of illumination, face expression and position.
Key words: Non-Subsampled Contourlet Transform (NSCT), Histograms of Oriented Gradient (HOG), face recognition, nearest neighbor classifier
摘要: 针对人脸识别系统准确度不高的问题,提出一种基于非下采样Contourlet梯度方向直方图(HNOG)的人脸识别算法。先对人脸图像进行非下采样Contourlet变换(NSCT),并将变换后的各系数矩阵进行分块,再计算各分块的梯度方向直方图(HOG),将所有分块的直方图串接得到人脸图像HNOG特征,最后用多通道最近邻分类器进行分类。在YALE人脸库、ORL人脸库上和CAS-PEAL-R1人脸库上的实验结果表明,人脸的HNOG特征有很强的辨别能力,特征维数较小,且对光照、表情、姿态的变化具有较好的鲁棒性。
关键词: 非下采样Contourlet变换, 梯度方向直方图, 人脸识别, 最近邻分类器
CLC Number:
TP391.413
FENG Junpeng YANG Huixian CAI Yongyong ZHAi Yunlong LI Qiuqiu. Face recognition based on histograms of nonsubsampled contourlet oriented gradient[J]. Journal of Computer Applications, 2014, 34(1): 158-161.
奉俊鹏 杨恢先 蔡勇勇 翟云龙 李球球. 基于非下采样contourlet梯度方向直方图的人脸识别[J]. 计算机应用, 2014, 34(1): 158-161.
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URL: http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2014.01.0158
http://www.joca.cn/EN/Y2014/V34/I1/158