DocumentCode :
3173202
Title :
Pair-wise Registration of 3D/Color Data Sets with ICP
Author :
Douadi, Lounis ; Aldon, Marie-Jose ; Crosnier, Andre
Author_Institution :
UMR CNRS, LIRMM, Montpellier
fYear :
2006
fDate :
Oct. 2006
Firstpage :
663
Lastpage :
668
Abstract :
The ICP (iterative closest point) algorithm remains a very popular method for the registration of 3D data sets, when an initial guess of the relative pose between them is known. The purpose of the work presented in this paper is to improve performance of classical ICP. We address, here, the problem of pair-wise registration of color range images. Many variants of ICP have been proposed for the registration of 3D data sets. However, there are only a few solutions dealing with color range images. In this paper, we have adapted some variants of ICP to take into account color information in the closest point research. Two approaches of color data integration have been evaluated with real 3D/color data sets
Keywords :
image colour analysis; image registration; 3D/color data sets; color data integration; color range images; iterative closest point algorithm; pair-wise registration; Application software; Color; Image reconstruction; Intelligent robots; Iterative algorithms; Iterative closest point algorithm; Iterative methods; Layout; Robot kinematics; Robot sensing systems; Iterative Closest Point; color range images; model reconstruction; registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0259-X
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282551
Filename :
4058433
Link To Document :
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