文献类型： 外文期刊
作者： Su, Zhixun 2 ; Zhao, Yuandi 1 ; Zhao, Chunjiang 1 ; Guo, Xinyu 1 ; Li, Zhiyang 2 ;
作者机构： 1.China Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China
关键词： Curve skeleton; Tree models; Laplacian contraction
期刊名称：MATHEMATICAL AND COMPUTER MODELLING （ 影响因子：1.366； 五年影响因子：1.602 ）
ISSN： 0895-7177
年卷期： 2011 年 54 卷 3-4 期
页码：
收录情况： SCI
摘要： The curve skeleton extraction for a given laser-scanned tree model plays an important role in many virtual agricultural applications, such as modelling, animation and growth simulation. To extract the curve skeletons of various tree models, which can capture the essential topology structures, a simple and robust algorithm based on point cloud contraction using constrained Laplacian smoothing is proposed. The adaptive sampling and post-processing steps designed for complex tree-like models can effectively reduce the computation time and reconstruct the correct curve skeleton from a contracted point cloud. The experimental results show that the curve skeletons extracted by this algorithm are faithful and smooth, and they can be well utilized in many fields. (c) 2010 Elsevier Ltd. All rights reserved.
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