DocumentCode :
3421488
Title :
Structured Light in Sunlight
Author :
Gupta, Madhu ; Qi Yin ; Nayar, Shree K.
Author_Institution :
Columbia Univ., New York, NY, USA
fYear :
2013
fDate :
1-8 Dec. 2013
Firstpage :
545
Lastpage :
552
Abstract :
Strong ambient illumination severely degrades the performance of structured light based techniques. This is especially true in outdoor scenarios, where the structured light sources have to compete with sunlight, whose power is often 2-5 orders of magnitude larger than the projected light. In this paper, we propose the concept of light concentration to overcome strong ambient illumination. Our key observation is that given a fixed light (power) budget, it is always better to allocate it sequentially in several portions of the scene, as compared to spreading it over the entire scene at once. For a desired level of accuracy, we show that by distributing light appropriately, the proposed approach requires 1-2 orders lower acquisition time than existing approaches. Our approach is illumination-adaptive as the optimal light distribution is determined based on a measurement of the ambient illumination level. Since current light sources have a fixed light distribution, we have built a prototype light source that supports flexible light distribution by controlling the scanning speed of a laser scanner. We show several high quality 3D scanning results in a wide range of outdoor scenarios. The proposed approach will benefit 3D vision systems that need to operate outdoors under extreme ambient illumination levels on a limited time and power budget.
Keywords :
brightness; image reconstruction; 3D reconstructions; 3D vision systems; acquisition time; ambient illumination; ambient illumination levels; high quality 3D scanning; laser scanner; light distribution; light sources; light-concentration; optimal light distribution; structured light based techniques; sunlight; Accuracy; Encoding; Light sources; Lighting; Signal to noise ratio; Three-dimensional displays; 3D scanning; ambient illumination; autonomous navigation; camera; light source; low-power projector; outdoors; pico projector; projector; robotics; structured light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
ISSN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2013.73
Filename :
6751177
Link To Document :
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