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PRINCIPAL COMPONENT ANALYSIS IN APPLICATION TO OBJECT ORIENTATION

PRINCIPAL COMPONENT ANALYSIS IN APPLICATION TO OBJECT ORIENTATION
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摘要 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.
出处 《Geo-Spatial Information Science》 2000年第3期76-78,共3页 地球空间信息科学学报(英文)
关键词 principal COMPONENT analysis(PCA) principal component(PC) OBSERVED SAMPLES EIGENVECTOR EIGENVALUE principal component analysis(PCA) principal component(PC) observed samples eigenvector eigenvalue
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参考文献3

  • 11,Tang S Z.Multivariate Analysis Method.Beijing:Chinese Forestry Press,1984(in Chinese)
  • 22,Everitt B S,Dunn D.Applied Multivariate Data Analysis.Edward Arnold,1991
  • 33,Jolmson R A,Wichern D W.Applied Multivariate Statistical Analysis.Englewond Cliffs,NJ:Prentice Hall,1988

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