DocumentCode
3512072
Title
Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates
Author
Tibyani, Tibyani ; Kamata, Sei-ichiro
Author_Institution
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear
2012
fDate
18-19 May 2012
Firstpage
122
Lastpage
127
Abstract
In this paper,we put forward an interest point detection framework and combine with a spin image algorithm to register them. A framework is presented in this study. This method make use of the Harris Operator Extension method of interest point detection on 3D manifold triangular meshes in barycentric coordinate. Using this approach, we can extract the object correctly and effectively in noise situation. The unique advantage of this framework is its applicability to triangular meshes models. Experimental results on a different number of models are shown to demonstrate more accurate and effectively results for global registering 3D Objects triangular meshes for three pairs of corresponding interest point features.
Keywords
feature extraction; image registration; 3D manifold triangular mesh; 3D objects triangular mesh registration; Harris operator extension method; barycentric coordinate; interest point detection framework; noise situation; object extraction; spin image algorithm; triangular meshes model; Analytical models; Computational modeling; Europe; Image recognition; RNA; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4673-1153-3
Type
conf
DOI
10.1109/ICIEV.2012.6317548
Filename
6317548
Link To Document