TY - GEN
T1 - MC3D
T2 - IEEE International Conference on Computational Photography, ICCP 2015
AU - Matsuda, Nathan
AU - Cossairt, Oliver Strides
AU - Gupta, Mohit
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/27
Y1 - 2015/7/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84948437360&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948437360&partnerID=8YFLogxK
U2 - 10.1109/ICCPHOT.2015.7168370
DO - 10.1109/ICCPHOT.2015.7168370
M3 - Conference contribution
AN - SCOPUS:84948437360
T3 - 2015 IEEE International Conference on Computational Photography, ICCP 2015 - Proceedings
BT - 2015 IEEE International Conference on Computational Photography, ICCP 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 April 2015 through 26 April 2015
ER -