DocumentCode :
461925
Title :
Automatic Registration of Multiple Range Images by the Local Log-Polar Range Images
Author :
Masuda, Takeshi
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba
fYear :
2006
fDate :
14-16 June 2006
Firstpage :
216
Lastpage :
223
Abstract :
We propose a method for automatic registration of multiple range images by matching invariant feature vectors generated from the local log-polar range images. Point pairs are corresponded by finding the nearest neighbor of invariant feature vectors. The correspondence is validated, and the pairwise transformations between the input range images are determined by using the RANSAC algorithm. The registration of all input range images are determined by constructing the view tree of the input range images. The registration result of the proposed method is used as the initial value of a fine registration methods for object shape modeling.
Keywords :
feature extraction; image matching; image registration; RANSAC algorithm; automatic multiple range image registration; invariant feature vectors; log-polar range images; object shape modeling; pairwise transformations; Computer simulation; Hardware; Image sampling; Nearest neighbor searches; Object recognition; Optical sensors; Pixel; Robot kinematics; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3D Data Processing, Visualization, and Transmission, Third International Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-7695-2825-2
Type :
conf
DOI :
10.1109/3DPVT.2006.35
Filename :
4155730
Link To Document :
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