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Rotation and scale invariant image finder

机译:旋转和比例不变图像查找器

摘要

A system for digital image recognition which combines sparse correlation with image pyramiding to reduce the number of pixels used in correlation provides effective recognition of a reference image template without exhaustive correlation of all pixels in the reference image template. An optimal sparse pixel set is selected from the pixels of the reference image template by correlating the reference image template against a search image scene which is to be searched. Such a sparse pixel set includes those pixels which are optimal in defining the correlation sensitive features of the reference image template. By terminating the accumulation of sparse pixels at an optimal point, performance is maximized without compromising accuracy of recognition. The resultant optimal sparse pixel set is then correlated against the pixels in the search image scene through a series of transformations to find a match of the reference image template within the search image scene.
机译:一种将稀疏相关性与图像金字塔化相结合以减少相关性中使用的像素数量的数字图像识别系统,可以对参考图像模板进行有效识别,而无需全面参考图像模板中所有像素。通过将参考图像模板与要搜索的搜索图像场景相关联,从参考图像模板的像素中选择最佳稀疏像素集。这样的稀疏像素集包括在定义参考图像模板的相关敏感特征方面最佳的那些像素。通过在最佳点终止稀疏像素的累积,可以在不影响识别精度的情况下最大化性能。然后,通过一系列变换将所得的最佳稀疏像素集与搜索图像场景中的像素相关联,以找到搜索图像场景中参考图像模板的匹配项。

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