Paper Info
Title
Pair-Wise Registration Of 3d/Color Data Sets With Icp
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.
Year
DOI
Venue
2006
10.1109/IROS.2006.282551
2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12
Keywords
Field
DocType
model reconstruction, color range images, registration, Iterative Closest Point
Data integration,Computer vision,Data set,Color histogram,Computer science,Closest point,Artificial intelligence,Image registration,Model reconstruction,Iterative closest point
Conference
Citations 
PageRank 
References 
7
0.52
11
Authors
3
Name
Order
Citations
PageRank
Lounis Douadi1442.59
Marie-José Aldon214711.61
André Crosnier38610.69