Title :
Optimising Light Source Positions to Minimise Illumination Variation for 3D Vision
Author :
Botterill, Tom ; Mills, Steven ; Green, Richard ; Lotz, Thomas
Author_Institution :
Dept. of Comput. Sci., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
Machine vision lighting systems must be designed to evenly illuminate scenes, so that objects´ appearances do not change depending on their position. This is challenging when imaging 3D scenes where the camera´s field of view or depth of field are large. This paper describes a scheme to design effective lighting systems in such situations: lighting across the scene is modelled, and positions of lights are optimised to minimise variation in illumination levels. The scheme is used to design a lighting system for an agricultural robot, which reduces variation in the appearance of crops due to uneven lighting. The lighting for a compact medical imaging device is redesigned, which will result in a 53% reduction in the range of lighting levels in the scene.
Keywords :
crops; lighting; robot vision; 3D scene imaging; 3D vision; agricultural robot; compact medical imaging device; crop; illumination variation minimisation; light source position optimisation; machine vision lighting system; Cameras; Layout; Light sources; Lighting; Machine vision; Optimization; Robots; Image Reconstruction; Lighting; Machine Vision; Optimization;
Conference_Titel :
3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-4470-8
DOI :
10.1109/3DIMPVT.2012.13