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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