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Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns

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arxiv 1811.10771 v1 pith:QPFSSM6W submitted 2018-11-27 cs.CV

T. Leroux , S.-H. Ieng , R. Benosman This is my paper · ORCID
classification cs.CV
keywords lightfrequencymethoddeptheventhighmatchingpattern
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents a new method for 3D depth estimation using the output of an asynchronous time driven image sensor. In association with a high speed Digital Light Processing projection system, our method achieves real-time reconstruction of 3D points cloud, up to several hundreds of hertz. Unlike state of the art methodology, we introduce a method that relies on the use of frequency tagged light pattern that make use of the high temporal resolution of event based sensors. This approch eases matching as each pattern unique frequency allow for any easy matching between displayed patterns and the event based sensor. Results are show on real scenes.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Structured light with a million light planes per second

    cs.CV 2024-11 conditional novelty 6.0 of 10

    A structured light system using acousto-optic line scanning and an event camera demonstrates full-frame depth scanning at 1000 fps, four times faster than prior event-based structured light.

  2. Event fields: Capturing light fields at high speed, resolution, and dynamic range

    cs.CV 2024-12 conditional novelty 5.0 of 10

    Events from scanning mirrors or kaleidoscopes can be used to reconstruct light fields at high speed, enabling post-capture refocusing and depth estimation.

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