Presentation 2006-09-08
Fast and Robust SAI Method using Signed Distance Field and Its Application to Morphology
Jun TAKAMATSU, Naoya SAGA, Katsushi IKEUCHI,
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Abstract(in English) In 3D contour-based shape analysis, methods which converts shape attributes of a target object into data following the unified format are widely used. Such data provides us with the analysis method which is completely independent of its shape. The Spherical-Attribute-Image (SAI) method is one of those methods. The SAI method first constructs the map from the spherical surface to the surface of the target object, and then expresses the local geometric attribute of each point in the spherical coordinates. The expression is referred to as an SAI. The method analyzes 3D shapes by comparing the corresponding SAIs. In the process of constructing an SAI, the deformable surface method is used. The method deforms the spherical mesh into the model by converging some metric about difference between the two. In the case that the model is quite different from a sphere, for example the model including some depressions and inspired shapes, however, the wrong convergence happens and resultantly prevents to obtain an appropriate SAI. Then, we propose a method for guiding the deformation using the signed distance field so as to lead to the correct convergence. In actuality, we illustrate the result to estimate phylogenetic relationships between breeds of chickens.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) 3D Shape Analysis
Paper # PRMU2006-60
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Conference Information
Committee PRMU
Conference Date 2006/9/1(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fast and Robust SAI Method using Signed Distance Field and Its Application to Morphology
Sub Title (in English)
Keyword(1) 3D Shape Analysis
1st Author's Name Jun TAKAMATSU
1st Author's Affiliation Institute of Industrial Science, The University of Tokyo()
2nd Author's Name Naoya SAGA
2nd Author's Affiliation Institute of Industrial Science, The University of Tokyo
3rd Author's Name Katsushi IKEUCHI
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo
Date 2006-09-08
Paper # PRMU2006-60
Volume (vol) vol.106
Number (no) 229
Page pp.pp.-
#Pages 8
Date of Issue