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A new image matching method based on principal component analysis

机译：一种基于主成分分析的新图像匹配方法

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摘要

This paper introduces principal component analysis into matching and correlation tracking, and presents a matching algorithm based on principal component analysis. This matching method can bear some image distortions in the image matching and visual tracking. Experimental results are presented to support it.

机译：本文将主成分分析介绍成匹配和相关性跟踪，并提出了一种基于主成分分析的匹配算法。此匹配方法可以在图像匹配和视觉跟踪中承担一些图像扭曲。提出了实验结果支持它。

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《Conference on process control and inspection for industry 》|2000年||共4页
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作者
Zhang Guilin; Jiang Ming; Hu Ruolan; Chen Zhaoyang; SPIE--The International Society for Optical Engineering;
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正文语种
中图分类自动化系统 ;
关键词
imae katching; reference image; distorted image; real time image principal component analysis (PCA) eigenvalue; genetic algorithm;

机译：imae katching;参考图像;扭曲图像;实图像主成分分析（PCA）特征值;遗传算法;

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A new image matching method based on principal component analysis

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