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
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;
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2009.5152431