Part CAD model reusing method based on point cloud classification network
A classification network and model reuse technology, applied in biological neural network models, neural learning methods, still image data clustering/classification, etc., can solve local information sensitivity, cannot solve similar parts retrieval problems, cannot represent 3D part models, etc. problem, to achieve a good general effect
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[0040] See figure 1 , The present invention is a method for reusing part CAD models based on point cloud classification network, including the following steps:
[0041] S1. Establish a 3D CAD part library of the product;
[0042] S2. Convert the CAD model of the part in any format into a 3D point cloud model;
[0043] Convert CAD models of parts stored in multiple formats such as PRT, STEP, and STL, and use OBJ format as an intermediate medium to convert CAD models of all parts into standard 3D point cloud models consisting of 100,000 points, and save them as PLY or PCD Point cloud format storage.
[0044] S3. Unify the point cloud model to 2048 points through multiple times without replacement-uniform sampling;
[0045] Through multiple times without replacement-uniform sampling, a single part point cloud model composed of 100,000 points is sampled into multiple standard point cloud models composed of 4096 or 2048 points to prevent partial spatial information of complex parts The lac...
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