DocumentCode
2381137
Title
HSM3D: Feature-less global 6DOF scan-matching in the Hough/Radon domain
Author
Censi, Andrea ; Carpin, Stefano
Author_Institution
Control & Dynamical Syst. Dept., California Inst. of Technol., Pasadena, CA, USA
fYear
2009
fDate
12-17 May 2009
Firstpage
3899
Lastpage
3906
Abstract
This paper presents HSM3D, an algorithm for global rigid 6DOF alignment of 3D point clouds. The algorithm works by projecting the two input sets into the Radon/Hough domain, whose properties allow to decompose the 6DOF search into a series of fast one-dimensional cross-correlations. No planes or other particular features must be present in the input data, and the algorithm is provably complete in the case of noise-free input. The algorithm has been experimentally validated on publicly available data sets.
Keywords
Hough transforms; Radon transforms; image matching; 3D point clouds; 6DOF search; HSM3D; Radon-Hough domain; fast one-dimensional cross-correlations; feature-less global 6DOF scan-matching; Clouds; Iterative algorithms; Iterative closest point algorithm; Iterative methods; Parameter estimation; Robot sensing systems; Robot vision systems; Robotics and automation; Robustness; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location
Kobe
ISSN
1050-4729
Print_ISBN
978-1-4244-2788-8
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2009.5152431
Filename
5152431
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