MC3D: Motion Contrast 3D Scanning

Nathan Matsuda, Oliver Strides Cossairt, Mohit Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Computational Photography, ICCP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986675
DOIs
StatePublished - Jul 27 2015
EventIEEE International Conference on Computational Photography, ICCP 2015 - Houston, United States
Duration: Apr 24 2015Apr 26 2015

Publication series

Name2015 IEEE International Conference on Computational Photography, ICCP 2015 - Proceedings

Other

OtherIEEE International Conference on Computational Photography, ICCP 2015
CountryUnited States
CityHouston
Period4/24/154/26/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Signal Processing

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