DocumentCode :
3234399
Title :
Design and calibration of a hybrid computer vision and structured light 3D imaging system
Author :
Botterill, Tom ; Mills, Steven ; Green, Richard
Author_Institution :
Dept. of Comput. Sci., Univ. of Canterbury, Christchurch, New Zealand
fYear :
2011
fDate :
6-8 Dec. 2011
Firstpage :
441
Lastpage :
446
Abstract :
This paper describes a structured light system for generating a dense 3D reconstruction of crops viewed by a robot, as the robot moves. A line laser is used to project a plane of light into the image, which is viewed by a colour camera. The laser line is localised with subpixel accuracy despite variations in colour and texture of the surface being imaged, and challenging lighting conditions. A dense depth map with errors from laser line localisation of just 0.15mm is constructed. A simple calibration procedure is described, where a large number of constraints are automatically extracted from images showing where the laser line crosses a checkerboard pattern. Errors in calibration are estimated at 2.3mm.
Keywords :
calibration; image colour analysis; image reconstruction; pattern recognition; robot vision; 3D reconstruction; calibration; checkerboard pattern; colour camera; crops; design; hybrid computer vision; robot; structured light 3D imaging system; Calibration; Image color analysis; Image reconstruction; Laser noise; Lasers; Measurement by laser beam; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Robotics and Applications (ICARA), 2011 5th International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4577-0329-4
Type :
conf
DOI :
10.1109/ICARA.2011.6144924
Filename :
6144924
Link To Document :
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