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Shake'n'sense: reducing interference for overlapping structured light depth cameras

Published: 05 May 2012 Publication History

Abstract

We present a novel yet simple technique that mitigates the interference caused when multiple structured light depth cameras point at the same part of a scene. The technique is particularly useful for Kinect, where the structured light source is not modulated. Our technique requires only mechanical augmentation of the Kinect, without any need to modify the internal electronics, firmware or associated host software. It is therefore simple to replicate. We show qualitative and quantitative results highlighting the improvements made to interfering Kinect depth signals. The camera frame rate is not compromised, which is a problem in approaches that modulate the structured light source. Our technique is non-destructive and does not impact depth values or geometry. We discuss uses for our technique, in particular within instrumented rooms that require simultaneous use of multiple overlapping fixed Kinect cameras to support whole room interactions.

References

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Berthouzoz, F., Fattal, R., Resolution Enhancement by Vibrating Displays, To Appear ACM TOG 2012.
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Hartley, R. and Zisserman, A. Multiple View Geometry in Computer Vision. Cambridge University Press.
[3]
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe. 2006. Poisson surface reconstruction. In Proc. Geometry processing (SGP '06). Eurographics, 61--70.
[4]
Kinect Hacks, http://www.kinecthacks.net/
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Maimone, A. and Fuchs, H. Encumbrance-free Telepresence System with Real-time 3D Capture and Display using Commodity Depth Cameras, In Proc. ISMAR '11.
[6]
A. Maimone and H. Fuchs. Reducing Interference Between Multiple Structured Light Depth Sensors Using Motion. To appear in IEEE Virtual Reality 2012.
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Wilson, A., and Benko, H. Combining Multiple Depth Cameras and Projectors for Interactions On, Above, and Between Surfaces. In Proceedings UIST 2010.

Cited By

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  • (2023)Enhanced 3D Scene Reconstruction Using Synchronized Multiple Kinect Depth Cameras2023 IEEE Pune Section International Conference (PuneCon)10.1109/PuneCon58714.2023.10450079(1-4)Online publication date: 14-Dec-2023
  • (2022)3D Vision Using Multiple Structured Light-Based Kinect Depth CamerasInternational Journal of Image and Graphics10.1142/S021946782450001324:01Online publication date: 21-Sep-2022
  • (2022)Intelligent Underwater Stereo Camera Design for Fish Metric Estimation Using Reliable Object MatchingIEEE Access10.1109/ACCESS.2022.318575310(74605-74619)Online publication date: 2022
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  1. Shake'n'sense: reducing interference for overlapping structured light depth cameras

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    cover image ACM Conferences
    CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    May 2012
    3276 pages
    ISBN:9781450310154
    DOI:10.1145/2207676
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 05 May 2012

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    Author Tags

    1. depth camera
    2. instrumented rooms
    3. kinect
    4. motion blur
    5. reducing interference
    6. structured light

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    View all
    • (2023)Enhanced 3D Scene Reconstruction Using Synchronized Multiple Kinect Depth Cameras2023 IEEE Pune Section International Conference (PuneCon)10.1109/PuneCon58714.2023.10450079(1-4)Online publication date: 14-Dec-2023
    • (2022)3D Vision Using Multiple Structured Light-Based Kinect Depth CamerasInternational Journal of Image and Graphics10.1142/S021946782450001324:01Online publication date: 21-Sep-2022
    • (2022)Intelligent Underwater Stereo Camera Design for Fish Metric Estimation Using Reliable Object MatchingIEEE Access10.1109/ACCESS.2022.318575310(74605-74619)Online publication date: 2022
    • (2021)Blocks-World Cameras2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01125(11407-11417)Online publication date: Jun-2021
    • (2019)Human 3D Pose Estimation with a Tilting Camera for Social Mobile Robot InteractionSensors10.3390/s1922494319:22(4943)Online publication date: 13-Nov-2019
    • (2019)Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial MarkersSensors10.3390/s1907156119:7(1561)Online publication date: 31-Mar-2019
    • (2019)Evaluating sensors for the measurement of public life: A future in image processingEnvironment and Planning B: Urban Analytics and City Science10.1177/239980831985263646:8(1534-1548)Online publication date: 14-Sep-2019
    • (2019)Enhancing 3D Capture with Multiple Depth Camera Systems: A State-of-the-Art ReportRGB-D Image Analysis and Processing10.1007/978-3-030-28603-3_7(145-166)Online publication date: 27-Oct-2019
    • (2019)Dealing with Missing Depth: Recent Advances in Depth Image Completion and EstimationRGB-D Image Analysis and Processing10.1007/978-3-030-28603-3_2(15-50)Online publication date: 27-Oct-2019
    • (2018)Improved Interaction for Mid-Air Projection Screen TechnologyVirtual and Augmented Reality10.4018/978-1-5225-5469-1.ch082(1742-1761)Online publication date: 2018
    • Show More Cited By

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