PRINCIPAL COMPONENT ANALYSIS IN APPLICATION TO OBJECT ORIENTATION

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PRINCIPAL COMPONENT ANALYSIS IN APPLICATION TO OBJECT ORIENTATION

This paper proposes a new method based on principal component analysis to find the direction of an object in any pose.Experiments show that this method is fast,can be applied to objects with any pixel distribution and keep the original properties of objects invariant.It is a new application of PCA in image analysis.水利论文*o l5Z)@.P}

作 者: WEI Yi S.Marshall  
作者单位: 
刊 名:地球空间信息科学学报(英文版) 
英文刊名:GEO-SPATIAL INFORMATION SCIENCE 
年,卷(期):2000 3(3) 
分类号:P3 
关键词:principal component analysis(PCA)   principal component(PC)   observed samples   eigenvector   eigenvalue  
机标关键词:principal component analysisimage analysisnew method 
基金项目: 
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