DocumentCode :
2088578
Title :
Detecting and Classifying Umblic Points from Polynomial Fitting Point Cloud
Author :
Pang, Xufang ; Song, Zhan
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear :
2011
fDate :
24-26 Aug. 2011
Firstpage :
155
Lastpage :
160
Abstract :
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.
Keywords :
Hessian matrices; pattern classification; polynomials; solid modelling; surface fitting; Hessian matrix; degenerate point; point-sampled model; polynomial fitting point cloud; polynomial fitting surface; tensor field topology; trisector point; umbilical point classification; umbilical point detection; wedge point; Fitting; Indexes; Polynomials; Support vector machine classification; Surface fitting; Tensile stress; Three dimensional displays; curvature tensor; degenerate point; trisector; umbilical point; wedge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2011 IEEE 14th International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4577-0974-6
Type :
conf
DOI :
10.1109/CSE.2011.38
Filename :
6062867
Link To Document :
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