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  • 标题:Principal component analysis in application to object orientation
  • 本地全文:下载
  • 作者:Wei Yi ; S. Marshall
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2000
  • 卷号:3
  • 期号:3
  • 页码:76-78
  • DOI:10.1007/BF02826615
  • 出版社:Taylor and Francis Ltd
  • 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.
  • 关键词:principal component analysis (PCA); principal component (PC); observed samples; eigenvector; eigenvalue
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