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A Time-Of-Flight Depth Sensor - System Description, Issues and Solutions

Published: 27 June 2004 Publication History

Abstract

This paper describes a CMOS-based time-of-flight depth sensor and presents some experimental data while addressing various issues arising from its use. Our system is a single-chip solution based on a special CMOS pixel structure that can extract phase information from the received light pulses. The sensor chip integrates a 64x64 pixel array with a high-speed clock generator and ADC. A unique advantage of the chip is that it can be manufactured with an ordinary CMOS process. Compared with other types of depth sensors reported in the literature, our solution offers significant advantages, including superior accuracy, high frame rate, cost effectiveness and a drastic reduction in processing required to construct the depth maps. We explain the factors that determine the resolution of our system, discuss various problems that a time-of-flight depth sensor might face, and propose practical solutions.

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  • (2017)Drone Networks for Virtual Human TeleportationProceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications10.1145/3086439.3086448(21-26)Online publication date: 23-Jun-2017
  • (2017)RGBD Salient Object Detection via Deep FusionIEEE Transactions on Image Processing10.1109/TIP.2017.268298126:5(2274-2285)Online publication date: 1-May-2017
  • (2017)Intensity-guided edge-preserving depth upsampling through weighted L0 gradient minimizationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.11.00942:C(132-144)Online publication date: 1-Jan-2017
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cover image Guide Proceedings
CVPRW '04: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
June 2004
ISBN:0769521584

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IEEE Computer Society

United States

Publication History

Published: 27 June 2004

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Cited By

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  • (2017)Drone Networks for Virtual Human TeleportationProceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications10.1145/3086439.3086448(21-26)Online publication date: 23-Jun-2017
  • (2017)RGBD Salient Object Detection via Deep FusionIEEE Transactions on Image Processing10.1109/TIP.2017.268298126:5(2274-2285)Online publication date: 1-May-2017
  • (2017)Intensity-guided edge-preserving depth upsampling through weighted L0 gradient minimizationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.11.00942:C(132-144)Online publication date: 1-Jan-2017
  • (2016)Computational imaging with multi-camera time-of-flight systemsACM Transactions on Graphics10.1145/2897824.292592835:4(1-11)Online publication date: 11-Jul-2016
  • (2016)Depth dithering based on texture edge-assisted classificationImage Communication10.1016/j.image.2016.05.00647:C(56-71)Online publication date: 1-Sep-2016
  • (2015)From 3D Sensing to PrintingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/281871012:2(1-23)Online publication date: 20-Oct-2015
  • (2015)Doppler time-of-flight imagingACM Transactions on Graphics10.1145/276695334:4(1-11)Online publication date: 27-Jul-2015
  • (2015)Phasor ImagingACM Transactions on Graphics10.1145/273570234:5(1-18)Online publication date: 3-Nov-2015
  • (2015)A Hardware-Efficient Architecture for Accurate Real-Time Disparity Map EstimationACM Transactions on Embedded Computing Systems10.1145/262969914:2(1-26)Online publication date: 17-Feb-2015
  • (2015)Augmented reality visualizationAdvanced Engineering Informatics10.1016/j.aei.2015.03.00529:2(252-267)Online publication date: 1-Apr-2015
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