DocumentCode :
2510055
Title :
Scale Matching of 3D Point Clouds by Finding Keyscales with Spin Images
Author :
Tamaki, Toru ; Tanigawa, Shunsuke ; Ueno, Yuji ; Raytchev, Bisser ; Kaneda, Kazufumi
Author_Institution :
Hiroshima Univ., Hiroshima, Japan
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
3480
Lastpage :
3483
Abstract :
In this paper we propose a method for matching the scales of 3D point clouds. 3D point sets of the same scene obtained by 3D reconstruction techniques usually differ in scales. To match scales, we propose a keyscale that characterizes the scale of a given 3D point cloud. By performing PCA of spin images over different scales, a keyscale is defined as the scale that gives the minimum of cumulative contribution rate of PCA at a specific dimension of eigenspace. Simulations with the Stanford bunny and experimental results with 3D reconstructions of a real scene demonstrate that keyscales of any 3D point clouds can be uniquely found and effectively used for scale matching.
Keywords :
image matching; image reconstruction; principal component analysis; 3D point clouds scale matching; 3D reconstruction techniques; PCA cumulative contribution rate; keyscale; principal component analysis; spin images; Clouds; Noise; Object recognition; Principal component analysis; Robustness; Solid modeling; Three dimensional displays; 3D point sets; PCA; keyscale; spin images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.850
Filename :
5597540
Link To Document :
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