A New Approach to CAD Model Reconstruction From Cloud Datas Using Neural Networks
Feng Zhou · Machine Design and Research · 2005
The paper presents a new approach to CAD model reconstruction from cloud datas using neural networks(NN).It includes three steps:first,the cloud data are preprocessed for smoothing;second,feature lines are extracted and the cloud data are segmented;at last,implicit surface patches are created over rectangular mesh and trimmed to form an entire surface using RBFNN(Radical basis function neural networks).And then the triangles in the coarse mesh are recursively subdivided by employing self-adaptive method put forward.Experimental results show that this approach can get more accurate result of approximation.The rendering and control of CAD model can be treated in real-time reverse engineering.