Parallel motion algorithm consistent with psychophysics and physiology.

Heinrich H. Buelthoff, James J. Little, Tomaso Poggio

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

    2 Citations (Scopus)

    Abstract

    The authors describe a simple, parallel algorithm that successfully computes an optical flow from sequences of real images, is consistent with human psychophysics, and suggests a plausible physiological model. Regularizing optical flow computation leads to a formulation which minimizes matching error and, at the same time, maximizes smoothness of the optical flow. The authors develop an approximation to the full regularization computation in which corresponding points are found by comparing local patches of images. Selection among competing matches is performed using a winner-take-all scheme. The algorithm is independent of the types of features used for matching. Experiments with natural images show that the scheme is effective and robust against noise. The algorithm shows several of the same 'illusions' that humans perceive. A natural physiological implementation of the model is consistent with data from cortical areas V1 and MT.

    Original languageEnglish
    Title of host publicationProc Workshop Visual Motion
    Editors Anon
    Pages165-172
    Number of pages8
    Publication statusPublished - 1989
    EventProceedings: Workshop on Visual Motion - Washington, DC, USA
    Duration: 1989 Mar 281989 Mar 31

    Publication series

    NameProc Workshop Visual Motion

    Other

    OtherProceedings: Workshop on Visual Motion
    CityWashington, DC, USA
    Period89/3/2889/3/31

    ASJC Scopus subject areas

    • General Engineering

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