Research

Integrating Stereo with Shape-from-Shading derived Orientation Information


Reference:

Fincham Haines, T. and Wilson, R. C., 2007. Integrating Stereo with Shape-from-Shading derived Orientation Information. In: British Machine Vision Conference (BMVC), 2007-01-01.

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    Abstract

    Binocular stereo has been extensively studied for extracting the shape of a scene. The challenge is in matching features between two images of a scene; this is the correspondence problem. Shape from shading (SfS) is another method of extracting shape. This models the interaction of light with the scene surface(s) for a single image. These two methods are very different; stereo uses surface features to deliver a depth-map, SfS uses shading, albedo and lighting information to infer the differential of the depth-map. In this paper we develop a framework for the integration of both depth and orientation information. Dedicated algorithms are used for initial estimates. A Gaussian-Markov random field then represents the depth-map, Gaussian belief propagation is used to approximate the MAP estimate of the depth-map. Integrating information from both stereo correspondences and surface normals allows fine surface details to be estimated.

    Details

    Item Type Conference or Workshop Items (Paper)
    CreatorsFincham Haines, T.and Wilson, R. C.
    DepartmentsFaculty of Science > Computer Science
    Research CentresEPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    RefereedYes
    StatusPublished
    ID Code56740

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