From spatiotemporal curves to reconstructed depth

R. Rodrigues, A. Fernandes, C.W.A.M. Overveld, van, F. Ernst

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    We present a novel approach for 3D reconstruction based on a set of images taken from a static scene. Our solution is inspired by the spatiotemporal analysis of video sequences. The method is based on a best fitting scheme for spatiotemporal curves that allows us to compute 3D world coordinates of points within the scene. As opposed to a large number of current methods, our technique deals with random camera movements in a transparent way, and even performs better in these cases than with restrained motion such as pure translation. Robustness against occlusion and aliasing is inherent to the method as well.
    Original languageEnglish
    Pages (from-to)959-970
    JournalImage and Vision Computing
    Volume22
    Issue number12
    DOIs
    Publication statusPublished - 2004

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