文章基本信息

标题：Principal component analysis in application to object orientation
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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