中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detecting and Classifying Umblic Points from Polynomial Fitting Point Cloud

文献类型:会议论文

作者Xufang Pang; Zhan Song
出版日期2011
会议名称14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011, the 11th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2011, and the 10th IEEE Int. Conf. on Ubiquitous Computing and Communications, IUCC 2011
会议地点Dalian, Liaoning, China
英文摘要The topology of a tensor field is partially defined by its degenerate points, called umbilical points. We proposed a new approach for distinguishing them as trisector and wedge points on polynomial fitting surface of point-sampled models. Firstly, the polynomial fitting surface over neighborhoods of each point is obtained, and then the degenerate points are preliminary detected by building a Hessian matrix of the polynomial fitting. Computing the neighbor principal directions of the detected degenerate points, trisector and wedge points are finally classified according to the behavior of the nearby vector field.
收录类别EI
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/3363]  
专题深圳先进技术研究院_集成所
作者单位2011
推荐引用方式
GB/T 7714
Xufang Pang,Zhan Song. Detecting and Classifying Umblic Points from Polynomial Fitting Point Cloud[C]. 见:14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011, the 11th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2011, and the 10th IEEE Int. Conf. on Ubiquitous Computing and Communications, IUCC 2011. Dalian, Liaoning, China.

入库方式: OAI收割

来源:深圳先进技术研究院

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