• 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