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Multi-parameter highly-accurate simultaneous estimation method in image sub-pixel matching and multi-parameter highly-accurate simultaneous estimation program
Multi-parameter highly-accurate simultaneous estimation method in image sub-pixel matching and multi-parameter highly-accurate simultaneous estimation program
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机译:图像亚像素匹配中的多参数高精度同时估计方法及多参数高精度同时估计程序
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摘要
In consideration of N-dimensional similarity, a multiparameter high precision concurrent estimation method and a multiparameter high precision concurrent estimation program in image subpixel matching, which can estimate a correspondence parameter between images precisely, concurrently, and stably with a small amount of computation at high speed. The method comprises the steps of: determining a sub-sampling position where the N-dimensional similarity value between images obtained at discrete positions is maximum or minimum on a line in parallel with a certain parameter axis, and determining an N-dimensional hyperplane that most approximates the determined sub-sampling position; determining N of the N-dimensional hyperplanes with respect to each parameter axis; determining an intersection point of N of the N-dimensional hyperplanes; and setting the intersection point as a sub-sampling grid estimation position for the correspondence parameter between images that gives a maximum value or a minimum value of N-dimensional similarity in the N-dimensional similarity space.
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