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Shift detection by restoration-demonstrated by signal based pointpattern matching

机译:通过恢复进行移位检测-通过基于信号的点进行演示模式匹配

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Shift detection is one of the fundamental tasks within the fieldof picture registration. With SDR (shift detection by restoration) arobust signal-based procedure is given for detection of real shifts ofpictures. On the basis of a model which contains various perturbances,the shifted delta impulse determining the shift is restored with methodsof image restoration. By the use of the magnitude spectrum of twopictures also rotation and scaling can be detected by SDR. After a briefintroduction to the basics of SDR, the procedure is demonstrated in afurther problem-point pattern matching (PPM). A new extremely robustmethod is derived whereby pictures are generated from point patterns,which are used for the matching. An evaluation of the restored deltaimpulse is used, in order to determine weights for point correspondences
机译:换档检测是该领域的基本任务之一 图片注册。使用SDR(通过恢复进行移位检测) 给出了基于鲁棒信号的程序来检测 图片。在包含各种干扰的模型的基础上, 确定方法是否已恢复的偏移增量脉冲 图像恢复。通过使用两个幅度谱 图片还可以通过SDR检测到旋转和缩放。简短介绍后 关于SDR的基础知识介绍,该过程在以下内容中进行了演示: 进一步的问题点模式匹配(PPM)。全新而强大的功能 推导了一种方法,从而根据点图案生成图片, 用于匹配。评估还原的增量 为了确定点对应的权重,使用了脉冲

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