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