Particle smoothing for solving ambiguity problems in one-shot structured light systems

F. van der Heijden*, F.F. Berendsen, L.J. Spreeuwers, E. Schippers

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    One-shot structured light systems for 3D depth reconstruction often use a periodic illumination pattern. Finding corresponding points in the image and projector plane, needed for a triangulation, boils down to phase estimation. The 2πN ambiguities in the phase cause ambiguities in the reconstructed depth. This paper solves these ambiguities by constraining the solution space to scenes that only contain objects with flat surfaces, i.e. polyhedrons. We develop a new particle filter that estimates the depth and solves the ambiguity problem. A state model is proposed for piecewise continuous signals. This state model is worked out to find the optimal proposal density of the particle filter. The approach is validated with a demonstration.

    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Computer Vision Theory and Applications (VISAPP-2011)
    PublisherSCITEPRESS
    Pages531-537
    Number of pages7
    Volume1
    ISBN (Print)978-989-8425-47-8
    DOIs
    Publication statusPublished - 15 Jul 2011
    Event6th International Conference on Computer Vision Theory and Application, VISAPP 2011 - Vilamoura, Portugal
    Duration: 5 Mar 20117 Mar 2011

    Conference

    Conference6th International Conference on Computer Vision Theory and Application, VISAPP 2011
    Abbreviated titleVISAPP 2011
    CountryPortugal
    CityVilamoura
    Period5/03/117/03/11

    Keywords

    • 3D depth reconstruction
    • Jump Markov linear systems
    • One-shot structured light system
    • Particle filtering
    • SCS-Safety

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