DocumentCode
2815594
Title
Registration method for scattered cloud data based on feature points
Author
Peng, Yuhui ; Gao, Chenghui ; Cheng, Jie
Author_Institution
Coll. of Mech. Eng. & Autom., Univ. of Fuzhou, Fuzhou, China
fYear
2011
fDate
15-17 July 2011
Firstpage
5116
Lastpage
5119
Abstract
Registration of scattered cloud data is an important topic in model construction. Firstly, local geometric characteristic of point clouds is expressed by point feature. Then, coarse registration is implemented based on feature points selected. By reducing search scope of matching points and accelerating search speed based on k-d tree, the conventional ICP algorithm is improved. Experiment results show that it is valid.
Keywords
computational geometry; iterative methods; search problems; solid modelling; trees (mathematics); ICP algorithm; coarse registration; feature points; k-d tree; local geometric point cloud characteristics; model construction; scattered cloud data; search scope reduction; Genetic algorithms; Image reconstruction; Iterative closest point algorithm; Mice; Pattern analysis; Surface reconstruction; Three dimensional displays; feature point; registration; scattered cloud data;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988232
Filename
5988232
Link To Document