DocumentCode :
726836
Title :
MC3D: Motion Contrast 3D Scanning
Author :
Matsuda, Nathan ; Cossairt, Oliver ; Gupta, Mohit
Author_Institution :
Northwestern Univ., Evanston, IL, USA
fYear :
2015
fDate :
24-26 April 2015
Firstpage :
1
Lastpage :
10
Abstract :
Structured light 3D scanning systems are fundamentally constrained by limited sensor bandwidth and light source power, hindering their performance in real-world applications where depth information is essential, such as industrial automation, autonomous transportation, robotic surgery, and entertainment. We present a novel structured light technique called Motion Contrast 3D scanning (MC3D) that maximizes bandwidth and light source power to avoid performance trade-offs. The technique utilizes motion contrast cameras that sense temporal gradients asynchronously, i.e., independently for each pixel, a property that minimizes redundant sampling. This allows laser scanning resolution with single-shot speed, even in the presence of strong ambient illumination, significant inter-reflections, and highly reflective surfaces. The proposed approach will allow 3D vision systems to be deployed in challenging and hitherto inaccessible real-world scenarios requiring high performance using limited power and bandwidth.
Keywords :
cameras; image motion analysis; image resolution; 3D vision systems; MC3D; ambient illumination; laser scanning resolution; light source power; limited sensor bandwidth; motion contrast 3D scanning; motion contrast cameras; redundant sampling; single-shot speed; structured light 3D scanning systems; temporal gradients; Bandwidth; Cameras; Light sources; Lighting; Robot sensing systems; Robustness; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2015 IEEE International Conference on
Conference_Location :
Houston,TX
Type :
conf
DOI :
10.1109/ICCPHOT.2015.7168370
Filename :
7168370
Link To Document :
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