DocumentCode :
3405576
Title :
Range Image Registration Using an Octree based Matching Strategy
Author :
Strand, Marcus ; Erb, Frank ; Dillmann, Ruediger
Author_Institution :
Univ. Karlsruhe, Karlsruhe
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
1622
Lastpage :
1627
Abstract :
Autonomous world modeling is one of the major topics in current robot research. A basic concept hereby is the registration of consecutive range images. Consistent models can only be built with robust registration methods. Already one incorrect registered range image will affect the following registrations and lead to an inconsistent model. Therefore we developed a robust ICP registration method based on an octree matching strategy. This matching strategy could cope with large odometry errors and achieved the generation of consistent 3D models.
Keywords :
distance measurement; error analysis; image matching; image registration; iterative methods; octrees; autonomous world modeling; iterative closest point; octree based matching strategy; odometry errors; range image registration; Cameras; Clouds; Image registration; Image resolution; Iterative closest point algorithm; Least squares approximation; Mechatronics; Navigation; Robotics and automation; Robustness; Autonomous Exploration; ICP; Octree; Range Image; Registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
Type :
conf
DOI :
10.1109/ICMA.2007.4303792
Filename :
4303792
Link To Document :
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