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AssigneeNanjing Agricultural University
InventorXiangchao GAN
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A method for rapidly detecting a straight line, a plane and a hyperplane in a multi-dimensional space. The new method has two important advantages: firstly, the model corresponds to a total least square fitting algorithm and has better tolerance to data noise, so as to solve the problem of the precision of detecting a target on a parameter space segmentation line by means of fast Hough transform being too low; and secondly, in the integrated fast Hough transform, targets that are close to each other in a data space are gathered together in a parameter space, and a calculation process in the parameter space can be displayed by using a visual graph, thereby rapidly determining the number of targets, guiding the setting of system parameters, and distinguishing a target that is repeatedly recognized.
A method for rapidly detecting a straight line, a plane and a hyperplane in a multi-dimensional space, wherein in a data point cloud mode, in an n-dimensional space {F1, F2, . . . , Fn}, the data point cloud consists of N data points, and each data point is represented by:
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