3D point cloud matching experiment for implementation of u-City spatial information

Author

Kang, Nam Gi ; Moon, Su Jung ; Jeon, Min-cheol ; Pyeon, Mu-Wook

Author_Institution

Dept. of Adv. Technol. Fusion, Konkuk Univ., Seoul, South Korea

fYear

2011

fDate

Nov. 29 2011-Dec. 1 2011

Firstpage

1

Lastpage

4

Abstract

This study used the key-point observed simultaneously on two images and on two-dimensional intensity image data, which was obtained along with the two points (Point Cloud) data that were approached for automatic focus among points on terrestrial LiDAR data, and selected matching point through SIFT algorithm. As testing the building of College of Science at Konkuk University, the difference of the transformed parameters between the one through automatic matching and the one by hand showed -5mm~5mm, which concluded to be used as the data for automatic focus.

Keywords

geographic information systems; image matching; optical radar; stereo image processing; transforms; 2D intensity image data; 3D point cloud matching experiment; College of Science building; Konkuk University; SIFT algorithm; automatic focus; key-point observation; matching point; point cloud data; terrestrial LiDAR data; u-City spatial information; Buildings; Data models; Feature extraction; Laser radar; Solid modeling; Spatial databases; Three dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Industries (ICEI), 2011 International Conference on

Conference_Location

Jeju

Print_ISBN

978-1-4577-1999-8

Type

conf

Filename

6218551