This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of images frame by frame. Almost any existing stereo algorithm may be extended in this manner simply by replacing the image matching term with a spacetime term. By utilizing both spatial and temporal appearance variation, this modification reduces ambiguity and increases accuracy. Three major applications for spacetime stereo are proposed in this paper. First, spacetime stereo serves as a general framework for structured light scanning and generates high quality depth maps for static scenes. Second, spacetime stereo is effective for a class of natural scenes, such as waving trees and flowing water, which have repetitive textures and chaotic behaviors and are challenging for existing stereo algorithms. Third, the approach is one of very few existing methods that can robustly reconstruct objects that are moving and deforming over time, achieved by use of oriented spacetime windows in the matching procedure. Promising experimental results in the above three scenarios are demonstrated.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Spacetime stereo: shape recovery for dynamic scenes


    Contributors:
    Li Zhang, (author) / Curless, B. (author) / Seitz, S.M. (author)


    Publication date :

    2003-01-01


    Size :

    1969435 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Spacetime Stereo: Shape Recovery for Dynamic Scenes

    Zhang, L. / Curless, B. / Seitz, S. et al. | British Library Conference Proceedings | 2003


    Stereo based visual odometry in difficult traffic scenes

    Golban, Catalin / Istvan, Szakats / Nedevschi, Sergiu | IEEE | 2012


    Stereo Based Visual Odometry in Difficult Traffic Scenes

    Golban, C. / Szakats, I. / Nedevschi, S. et al. | British Library Conference Proceedings | 2012


    Spacetime Stereo: A Unifying Framework for Depth from Triangulation

    Davis, J. / Ramamoorthi, R. / Rusinkiewicz, S. et al. | British Library Conference Proceedings | 2003


    Spacetime stereo: a unifying framework for depth from triangulation

    Davis, J. / Ramamoorthi, R. / Rusinkiewicz, S. | IEEE | 2003