Title :
Fast plane detection and polygonalization in noisy 3D range images
Author :
Poppinga, Jann ; Vaskevicius, Narunas ; Birk, Andreas ; Pathak, Kaustubh
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Jacobs Univ. Bremen, Bremen
Abstract :
A fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane fitting and a polygonalization step. Both exploit the sequential nature of 3D data acquisition on mobile robots in form of range images. For the plane fitting, this is used to revise the standard mathematical formulation to an incremental version, which allows a linear computation. For the polygonalization, the neighborhood relation in range images is exploited. Experiments are presented using a time-of-flight range camera in form of a Swissranger SR-3000. Results include lab scenes as well as data from two runs of the rescue robot league at the RoboCup German Open 2007 with 1,414, respectively 2,343 sensor snapshots. The 36ldr106, respectively 59ldr106 points from the two point clouds are reduced to about 14ldr103, respectively 23ldr103 planes with only about 0.2 sec of total computation time per snapshot while the robot moves along. Uncertainty analysis of the computed plane parameters is presented as well.
Keywords :
control engineering computing; data acquisition; feature extraction; mobile robots; object detection; robot vision; 3D data acquisition; mobile robots; noisy 3D range images; plane detection; polygonalization; rescue robot league; surface extraction; Cameras; Distance measurement; Fitting; Meteorology; Robot sensing systems; Robots; Three dimensional displays;
Conference_Titel :
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-2057-5
DOI :
10.1109/IROS.2008.4650729