Title :
Online Colored Point Cloud Acquisition by Reprojection
Author :
Nie Jianhui ; Hu Ying ; Ma Zi ; Li Qingmeng
Author_Institution :
Autom. Res. Center, Dalian Maritime Univ., Dalian, China
Abstract :
Colored point cloud is essential for artifacts scanning, human digitalization and garment manufacturing. To get accurate color information of each scanning point, a novel strategy for online colored point cloud acquisition is proposed. Firstly, a buffer to store images of the scanned object and positions of the scanner is allocated. Then, it is refreshed during the scanning process and the color of points reconstructed from current frame is restored by reprojecting them to images in the buffer. Compared to traditional methods, the new algorithm can restore color information accurately in real time and can be integrated to an existing scanning system easily, both of which are validated in a robot based laser scanning system.
Keywords :
image colour analysis; image restoration; image texture; optical scanners; artifacts scanning; color information; color information restoration; color reconstruction; garment manufacturing; human digitalization; online colored point cloud acquisition; reprojection; robot based laser scanning system; Cameras; Image color analysis; Image reconstruction; Image restoration; Laser modes; Three dimensional displays; colored point cloud; digitalization; online; texture mapping;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.405
