Research

Reconstructing mass-conserved water surfaces using shape from shading and optical flow


Reference:

Pickup, D., Li, C., Cosker, D., Hall, P. and Willis, P., 2011. Reconstructing mass-conserved water surfaces using shape from shading and optical flow. In: Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers. Vol. 6495 LNCS. Heidelberg: Springer-Verlag, pp. 189-201.

Related documents:

[img]
Preview
PDF (Willis_ACCV_2010.pdf) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (2079kB) | Preview

    Official URL:

    http://dx.doi.org/10.1007/978-3-642-19282-1_16

    Abstract

    This paper introduces a method for reconstructing water from real video footage. Using a single input video, the proposed method produces a more informative reconstruction from a wider range of possible scenes than the current state of the art. The key is the combination of vision algorithms and physics laws. Shape from shading is used to capture the change of the water's surface, from which a vertical velocity gradient field is calculated. Such a gradient field is used to constrain the tracking of horizontal velocities by minimizing an energy function as a weighted combination of mass-conservation and intensity-conservation. Hence the final reconstruction contains a dense velocity field that is incompressible in 3D. The proposed method is efficient and performs consistently well across water of different types.

    Details

    Item Type Book Sections
    CreatorsPickup, D., Li, C., Cosker, D., Hall, P. and Willis, P.
    DOI10.1007/978-3-642-19282-1_16
    DepartmentsFaculty of Science > Computer Science
    Research CentresMedia Technology Research Centre
    Publisher StatementWillis_ACCV_2010.pdf: The original publication is available at www.springerlink.com
    RefereedNo
    StatusPublished
    ID Code24671
    Additional InformationLecture Notes in Computer Science Vol 6495. Conference article from 10th Asian Conference on Computer Vision, ACCV 2010. 8-12 November 2010. Queenstown, New zealand.

    Export

    Actions (login required)

    View Item

    Document Downloads

    More statistics for this item...