Quick point cloud registration method based on curved surface fitting coefficient features
A technology of surface fitting and point cloud, which is applied to the details of 3D image data, image data processing, instruments, etc. It can solve the problems of high coincidence degree and time-consuming calculation.
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[0061] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0062] The purpose of the present invention is to disclose a method for quick registration of point clouds characterized by surface fitting coefficients. Firstly, an adaptive multi-neighborhood curvature mean difference key point extraction algorithm is designed, and the points with obvious surface changes rather than noise are found as key points. By calculating the mean value of curvature of two neighborhoods with different radii, according to the difference between the two Determine whether the point is a key point and adaptively select the remaining candidate points as key points. Then, the surface fitting coefficients of the three different radius neighborhoods of the key point are used as the feature descriptor at the key point. By comparing the distance between the feature descriptors of each key point of the two point clouds, the corresponding point ...
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