3D point cloud simplification method for 3D printing

The invention provides a 3D point cloud simplification method for 3D printing, belongs to the technical field of 3D printing, solves the problem that an existing point cloud simplification algorithm focuses on feature retention of a geometric salient region of a 3D model, and causes a cavity in a fl...

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Bibliographische Detailangaben
Hauptverfasser: ZHANG ZANZAN, ZHANG SHENG, ZHANG CAI, WU YINGCHUN
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention provides a 3D point cloud simplification method for 3D printing, belongs to the technical field of 3D printing, solves the problem that an existing point cloud simplification algorithm focuses on feature retention of a geometric salient region of a 3D model, and causes a cavity in a flat region after data encapsulation, and establishes a feature evaluation function with compromise between sharpness and uniformity in a point cloud gradual change region. According to the feature threshold, realizing secondary classification of the slowly varying region; when points with high eigenvalues in a slowly varying region are simplified, a subspace hierarchical sampling algorithm based on octree division is provided, and the simplification rate can be effectively controlled while the simplification speed is increased; when points with low eigenvalues in a slowly varying region are simplified, a far and near point cyclic sampling algorithm is provided, and the uniformity of the points is ensured under a hig