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Key Schemes For Complex Surface Reconstruction From Point Clouds

Posted on:2013-02-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:L C JinFull Text:PDF
GTID:1118330371962137Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
The purpose of the work in this thesis is to tackle key schemes for complex sur-face reconstruction from point clouds. A 3D laser scanner can get original point clouds from model of complex surface. This thesis tackles pre-processing of original point clouds. It tackles hole interpolation method from point clouds. The thesis ad-dresses variational implicit surface scheme and tackles reconstructing surface from complex surface of point clouds. And then, it proposes dynamic loading method for large point cloud data of a model. The main contribution of this work is followed:Firstly, this thesis proposes a novel method for anti-noise of point clouds. The method can de-noise and be robust to noise. Experimental results show it is high level performance. Secondly, according to reality problem of configuration in point clouds, it proposes a novel scheme for filling holes in a point cloud. The scheme uti-lizes Hermite surface theory and algorithm of depictor in detail for data configura-tion. Experimental results show the proposed scheme is efficient. Thirdly, it tackles efficient mathematic model from point cloud. The thesis proposes a novel method for variational implicit surface reconstruction from complex surface of a point cloud. The method can reconstruct surface of detail. Comparative experimental results ve-rify high performance of the proposed method. Fourthly, the thesis proposes a noval scheme for a variety of surface reconstruction. The scheme utilizes novel schemes of filling holes and variational implicit surface reconstruction. Experimental results show the scheme is efficient for a variety of 3D surface reconstruction. Finally, ac-cording to reality problem of massive point cloud, it proposes dynamic method for a model of point cloud loading. It also utilizes reduction algorithm to reduce models of point cloud. It tackles surface real-time reconstructing a model.The thesis tackles five key algorithms. Experimental results show the proposed algorithms are of high performance. Providing an efficient access, the four key algo-rithms implement complex surface reconstruction from 3D point cloud and a new solution for applications.
Keywords/Search Tags:Complex surface, point cloud data, hole-filling, variational method, dynamic loading of model
PDF Full Text Request
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