Journal of Guangdong University of Technology ›› 2010, Vol. 27 ›› Issue (3): 64-67.

• Comprehensive Studies • Previous Articles     Next Articles

A New Image Distance Applied in Face Recognition

  

  1. Faculty of Applied Mathematics，Guangdong University of Technology，Guangzhou 5 10006，China
  • Online:2010-09-25 Published:2010-09-25

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Abstract: It presents a new image distance—Image Matching Distance(IMMD)．It considers the relationship between every point of the image pixel and the specific area of the corresponding image，and finds the matching point in this special area，to let the image of the gray value and its coordinates into the similarity measure of image．It makes IMMD have good robustness for the changes of face posture，angle，and the expression．The nearest neighbor classifier is used，based on the IMMD for face recognition．The experimental results show that this method is superior to the method based on Euclidean Distance and Image Euclidean Distance．

Key words: image Distance；face recognition；Euclidean Distance；Image Euclidean Distance(IMED)；Image
Matching Distance(IMMD)

[1]Zhao W，Chellappa R，Rosenfel A，et a1．Face recognItion：a literature survey[J]．ACM Computing，2003，35(4)：399-458．

[2]李乐，章毓晋．利用符号假设检验比较两类PCA人脸识别算法[J]．模式识别与人工智能，2008，21(4)：433-440．

[3]Haitao Zhao．Incremental linear discriminant analysis for face recognition[J]．IEEE Transactions on systems，man，and cybernetics．Part B，Cybernetics，2008，38(1)：210-221．

[4]Yang J，Zhang D，Frangi A F，et a1．Two—dimensional PCA：a new approach to appearance based face repr-esentation and recognition[J]．IEEE Trans PaRem An—alysis and Machine InteHigence，2004，26(1)：131-1 37．

[5]Keun—Chang Kwak．Face recogmtion using an enhanced independent component analysis approach[J]．IEEE Transactions on Neural Networks，2007，18：530-541．

[6]Li Wei，Yan Zhang，Feng Ju—fu．On the euclidean distarice of images[J]．IEEE Transactions On Pattern Anal-ysis and Maching Intelligence，2005，27(8)：1334-1339．

[7]刘福新，杜世培，陈益强．基于改进Hausdorf距离的人脸匹配方法[J]．计算机工程与应用，2007，43(35)：169-171．

[8 j Daniel Keysers．Adaptation in statistical pattern recognition using tangent vectors[J]．IEEE Transa-ctions on Pattern Analysis And Machine Intelligence，2004，26(2)：269-274．
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