南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (1): 132138.
陈素根1,2, 吴小俊1*, 曹俊峰1
Chen Sugen1,2,Wu Xiaojun1*,Cao Junfeng1
摘要: 针对PCA和2DPCA人脸识别方法在特征提取过程中仅考虑总体散度而忽视类内散度的问题,提出了一种基于训练样本类内局部调整的人脸识别方法.首先,对每一类训练样本利用线性插值方法生成类内虚拟样本作为新的训练样本;其次,对新的训练样本和测试样本利用PCA或2DPCA方法提取特征;最后,用最近邻分类器进行识别分类. 在ORL、YALE、XM2VTS人脸数据库上验证,实验结果说明本文算法的有效性.
[1] Yang M H, Kriegman D, Ahuja N. Detecting faces in images: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(1): 34~58. [2] Turk M, Pentland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 1991, 3(1):71~86. [3] Kirby M, SIrovich L. Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(1):102~108. [4] Belhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 711~720. [5] Yang J, Yang J Y. From image vector to matrix: a straightforward image projection technique-IMPCA vs. PCA. Pattern Recognition, 2002, 35(9):1997~1999. [6] Yang J, Zhang D, Frangi A F, et al. Two-dimensional PCA: A new approach to face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(1): 131~137. [7] 陈才扣,喻以明,史 俊. 一种快速的基于稀疏表示分类器. 南京大学学报(自然科学),2102,48(1):70~76. [8] 陈达遥,陈秀宏,董昌剑. 基于零空间核判别分析的人脸识别. 计算机研究与发展,2013,50(9):1924~1932. [9] 胡正平,李 静. 基于低秩子空间恢复的联合稀疏表示人脸识别算法. 电子学报,2013,41(5):987~991. [10] Poggio T, Vetter T.Recognition and structure from one 2D model view:Observations on prototypes, object classes, and symmetries. Technical Report. A.I. Memos No.1347, Artificial Intelligence Laboratory, Massachusetts Institute of Technology,1992. [11] 温津伟, 罗四维, 赵嘉莉等.通过创建虚拟样本的小样本人脸识别统计学习方法.计算机研究与发展, 2002, 39(7):814~818. [12] 于 旭,杨 静, 谢志强.虚拟样本生成计算研究.计算机科学, 2011, 38(3): 16~19. [13] 孟一飞,袁 雪, 魏学业等.基于样本和线性子空间特征提取的单样本人脸识别.应用科学学报, 2013, 31(5): 488 ~494. [14] Lu J W, Tan Y P, Wang G. Discriminative multimanifold analysis for face recognition from a single training sample per person. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(1):39~51. [15] 王科俊,邹国锋. 基于子模式的Gabor特征融合的单样本人脸识别. 模式识别与人工智能,2013,26(1):50~56. [16] 董 璇, 蔡立军.基于不平衡类数据集分类的空间插值方法.计算机仿真, 2012, 29(12): 175~179. |
No related articles found! |
|