DocumentCode :
3095797
Title :
Multi-view point clouds registration and stitching based on SIFT feature
Author :
Chu, Jun ; Nie, Chun-mei
Author_Institution :
Inst. of Comput. Vision, Nanchang Hang kong Univ., Nanchang, China
Volume :
1
fYear :
2011
fDate :
11-13 March 2011
Firstpage :
274
Lastpage :
278
Abstract :
In order to solve multi-view point clouds registration in large non-feature marked scenes, a new registration and stitching method was proposed based on 2D SIFT(Scale-invariant feature transform) features. Firstly, we used texture mapping method to generate 2D effective texture image, and then extracted and match SIFT features, obtained accurate key points and registration relationship between the effective texture images. Secondly, we reflected the SIFT key points and registration relationship to the 3D point clouds data, obtained key points and registration relationship of multi-view point clouds, we can achieve multi-view point clouds stitching. Our algorithm used texture mapping method to generate 2D effective texture image, it can eliminate interference of the holes and ineffective points, and can eliminate unnecessary mistake matching. Our algorithm used correct extracted matching point pairs to stitch, avoiding stepwise iterated of ICP algorithm, so our algorithm is simple to calculate, and it´s matching precision and matching efficiency are improved to some extent. We carried experiments on two-view point clouds in two large indoor; the experiment results verified the validity of our algorithm.
Keywords :
feature extraction; image matching; image registration; image texture; 2D SIFT; 2D effective texture images; ICP algorithm; Scale Invariant feature transform; feature extraction; matching point pairs; multiview point clouds registration; multiview point clouds stitching; texture mapping method; Algorithm design and analysis; Equations; Feature extraction; Filling; Iterative closest point algorithm; Mathematical model; Three dimensional displays; Multi-view point clouds registration; SIFT key point; multi-view point clouds stitching; texture mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
Type :
conf
DOI :
10.1109/ICCRD.2011.5764019
Filename :
5764019
Link To Document :
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