New Algorithm of Three Mesh Surface Reconstruction from Data Cloud
Youwei Yuan · Jisuanji gongcheng · 2005
This paper presents a new approach to three mesh surface reconstruction using Radical basis function neural networks(RBFNN).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,NURBS surface patches are created over rectangular mesh and trimmed to form an entire surface using RBFNN.A specific application of this technique to the geometric mesh reconstruction is then outlined,which aims on boundary reconstructing surface model with inherent continuity.Thus the precise reconstruction of data cloud is realized.The experiment result testifies that the approach is feasible.