Geometric detail feature removal method for point clouds
A technology of detailed features and geometry, applied in image data processing, instruments, etc., can solve problems such as difficulty and lack of connection between points, and achieve the effect of easy usability and maintaining no deformation.
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[0028] The present invention will be further described below in conjunction with specific examples.
[0029] The point cloud geometric detail feature removal method provided in this embodiment is mainly based on rolling normal vector filtering and multi-normal technology, including the following steps:
[0030] 1) Use rolling filtering method to filter the normal vector field, the formula is as follows:
[0031]
[0032] In the formula, is the normalization factor, k is the number of iterations, is p i The normal vector of the k+1th iterative filter of the point, n points are the number of vertices of the point cloud, n j is p j the original normal vector of is the position difference weight, when p j point and p i The farther the Euclidean distance of the point, the smaller the weight; is the normal vector difference weight, when p j the point's normal vector with p i the point's normal vector The larger the normal vector difference, the smaller the weight....
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