REGISTRATION OF DEFORMABLE MODELS BY USING RADIAL BASIS FUNCTIONS

被引:0
|
作者
Jaramillo, Andres [1 ]
Prieto, Flavio
Boulanger, Pierre [2 ]
机构
[1] Univ Nacl Colombia, Dept Ingn Elect Elect & Computac, Sede Manizales, Colombia
[2] Univ Alberta, Dept Comp Sci, Edmonton, AB, Canada
来源
DYNA-COLOMBIA | 2009年 / 76卷 / 157期
关键词
Registration; deformable parts; radial basis functions; computer vision;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to carry out the alignment of non-rigid models a general transformation is required, which includes a rigid transformation and a deformation. In this work, we present a system that uses Radial Basis Functions to obtain the non-rigid transformation. Although modeling deformable objects using these functions is not a physical modeling, it is computationally faster compared with the methods based on physics like the mass-spring systems and the finite element analysis. This last one is used like a reference, since it allows approximating the deformation with high accuracy. A comparison is done between the deformation obtained with the different radial basis functions used: Gaussian, multiquadrics and inverse multiquadrics, and that one obtained through finite element analysis. The system is evaluated on four synthetic models.
引用
收藏
页码:7 / 16
页数:10
相关论文
共 50 条
  • [31] A localized interpolation method using radial basis functions
    Tatari, Mehdi
    [J]. World Academy of Science, Engineering and Technology, 2010, 69 : 498 - 503
  • [32] Vertex normal recovery using radial basis functions
    Jin, XG
    Sun, HQ
    Feng, JQ
    Peng, QS
    [J]. CAD/ GRAPHICS TECHNOLOGY AND ITS APPLICATIONS, PROCEEDINGS, 2003, : 251 - 255
  • [33] Vector field approximation using radial basis functions
    Cervantes Cabrera, Daniel A.
    Gonzalez-Casanova, Pedro
    Gout, Christian
    Hector Juarez, L.
    Rafael Resendiz, L.
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2013, 240 : 163 - 173
  • [34] DATA APPROXIMATION USING POLYHARMONIC RADIAL BASIS FUNCTIONS
    Segeth, Karel
    [J]. PROGRAMS AND ALGORITHMS OF NUMERICAL MATHEMATICS 20, 2021, : 129 - 138
  • [35] MULTILAYER PERCEPTRON TRAINED USING RADIAL BASIS FUNCTIONS
    TSOI, AC
    [J]. ELECTRONICS LETTERS, 1989, 25 (19) : 1296 - 1297
  • [36] Transport schemes on a sphere using radial basis functions
    Flyer, Natasha
    Wright, Grady B.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 226 (01) : 1059 - 1084
  • [37] Video summarization using a network of radial basis functions
    Naveed Ejaz
    Sung Wook Baik
    [J]. Multimedia Systems, 2012, 18 : 483 - 497
  • [38] ROBUST GRADIENT ESTIMATION USING RADIAL BASIS FUNCTIONS
    Karri, Satyaprakash
    Charonko, John
    Vlachos, Pavlos
    [J]. PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER CONFERENCE - 2008, VOL 2, 2009, : 319 - 328
  • [39] Improved rainfield tracking using radial basis functions
    Dell'Acqua, F
    Gamba, P
    [J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING VII, 2002, 4541 : 93 - 104
  • [40] Scattered data modelling using radial basis functions
    Iske, A
    [J]. TUTORIALS ON MULTIRESOLUTION IN GEOMETRIC MODELLING, 2002, : 205 - 242