Skeleton extraction for tree models
The curve skeleton extraction for a given laserscanned tree model plays an important role in many virtual agricultural applications, such as modelling, animation and growth simula-tion. 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.
Curve skeleton Tree models Laplacian contraction
Zhixun Su Yuandi Zhao Chunjiang Zhao Xinyu Guo Zhiyang Li
School of Mathematical Sciences, Dalian University ofTechnology, Dalian, 116024, PR China School of Mathematical Sciences, Dalian University ofTechnology, Dalian, 116024, PR China China Nati China National Engineering Research Center for Information Technology in Agriculture, Beijing, 10009
国际会议
南昌
英文
1115-1120
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)