Implicit surface random point cloud generation method

The invention relates to an implicit surface random point cloud generation method. A random point cloud distributed along a surface described in an implicit way is generated, the point cloud can be ensured to be equally dense at every place on the surface, and normal distribution with uniform standa...

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Bibliographic Details
Main Author HU MINGXIAO
Format Patent
LanguageChinese
English
Published 15.12.2017
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:The invention relates to an implicit surface random point cloud generation method. A random point cloud distributed along a surface described in an implicit way is generated, the point cloud can be ensured to be equally dense at every place on the surface, and normal distribution with uniform standard deviation in a normal direction is realized. The method comprises specific steps: the implicit surface, the partial derivative function thereof, a three-dimensional area and point cloud specification parameters are inputted; random points are uniformly generated in a specified three-dimensional area repeatedly; approximate distances between the points and the implicit surface are calculated according to an implicit function value and a gradient modulus; and the points with the different distances are added to the point cloud or discarded for reselection according to different probabilities. On one hand, the points randomly selected in the three-dimensional area are uniformly distributed, and the point cloud can
Bibliography:Application Number: CN20171723944