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针对基于图像特征点的配准方法中对应特征对难以准确提取的问题,提出一种基于兴趣
点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基
础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实
验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding char
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In this paper, a novel scale- and rotation-invariant interest point detector and descr iptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, di
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Hessian interest point detector
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整合了模式识别领域中几种经典的关于区域识别的文章，对于研究模式识别的同学，会有很大帮助-Integrated field of pattern recognition several classic articles on regional recognition, pattern recognition for research students, there will be a great help
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在matlab中实现兴趣点检测，简单易用，效果较好-This package implements the interest point detector in Matlab
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C++ implementation of performant scale- and rotation-invariant interest point detector and descr iptor SURF: Speeded Up Robust Features
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仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测
参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hess
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Interest Point Detector
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