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| MW(2D)2PCA Based Face Recognition with Single Training Sample |
| LI Xin1,2,WANG Ke-Jun2,BEN Xian-Ye2 |
1.Engineering Training Centre,Harbin Engineering University,Harbin 150001
2.College of Automation,Harbin Engineering University,Harbin 150001 |
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[1] Yang Jian, Zhang D, Frangi A F, et al. Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(1): 131-137
[2] Zhang Daoqiang, Zhou Zhihua. Two-Direction Two-Dimensional PCA for Efficient Face Representation and Recognition. Neurocomputing, 2005, 69(1/2/3): 224-231
[3] Gottumukkal R, Asari V K. An Improved Face Recognition Technique Based on Modular PCA Approach. Pattern Recognition Letters, 2004, 25(4): 429-436
[4] Tan K, Chen Songcan. Adaptively Weighted Sub-Pattern PCA for Face Recognition. Neurocomputing, 2005, 64(1): 505-511
[5] Ying Hongtao, Fu Ping, Meng Shengwei. Face Recognition Based on Local Feature Fusion. Journal of Test and Measurement Technology, 2006, 20(6): 539-542 (in Chinese)
(尹洪涛,付 平,孟升卫.基于局部特征融合的人脸识别.测试技术学报, 2006, 20(6): 539-542)
[6] Samaria F.Face Recognition Using Hidden Markov Models. Ph.D Dissertation. Cambridge, UK: University of Cambridge. Department of Engineering, 1994
[7] Chiang J H. Aggregating Membership Values by a Choquet-Fuzzy-Integral Based Operator. Fuzzy Sets and Systems, 2000, 114(3): 367-375
[8] Mogbaddam B, Jebara T, Pentland A. Bayesian Face Recognition. Pattern Recognition, 2000, 33(11): 1771-1782
[9] He Yongjun. Research of Several Effective Feature Extraction Algorithms. Master Dissertation. Harbin, China: Harbin Institute of Technology. College of Computer Science and Technology, 2006: 10-15 (in Chinese)
(何勇军.几种有效的特征提取算法的研究.硕士论文.哈尔滨:哈尔滨工业大学.计算机科学与技术学院, 2006: 10-15) |
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2010, Vol. 23 
