DocumentCode :
2021529
Title :
3D map reconstruction from range data
Author :
Huber, Daniel ; Carmichael, Owen ; Hebert, Martial
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
891
Abstract :
We present techniques for building models of complex environments from range data gathered at multiple viewpoints. The challenges in this problem are: the matching of unregistered views without prior knowledge of pose, the use of very large data sets, and the manipulation of data sets of different resolutions and from different sensors. Our approach is unique in that no prior knowledge of the relative viewpoints is needed in order to register the data. We show results in building maps of interior environment from range finding data, building large terrain maps from ground-based and from aerial data, and from an operational for mapping from stereo data for hazardous environment characterization. The paper summarizes the major results obtained so far in this area
Keywords :
computer vision; image matching; image reconstruction; image registration; stereo image processing; 3D map reconstruction; multiple viewpoints; point matching; range data; stereo data; terrain mapping; view registration; Buildings; Coordinate measuring machines; Libraries; Merging; Robots; Shape measurement; Surface reconstruction; Terrain mapping; Text recognition; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1050-4729
Print_ISBN :
0-7803-5886-4
Type :
conf
DOI :
10.1109/ROBOT.2000.844162
Filename :
844162
Link To Document :
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