Research

Estimating Camera Intrinsics From Motion Blur


Reference:

Barber, A., Brown, M., Hogbin, P. and Cosker, D., 2014. Estimating Camera Intrinsics From Motion Blur. In: Conference for Visual Media Production, 2014-11-13 - 2014-11-14.

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    Official URL:

    http://dx.doi.org/10.1145/2668904.2668934

    Abstract

    Estimating changes in camera parameters, such as motion, focal length and exposure time over a single frame or sequence of frames is an integral part of many computer vision applications. Rapid changes in these parameters often cause motion blur to be present in an image, which can make traditional methods of feature identification and tracking dif- ficult. Here we present a method for estimating the scale changes brought about by change in focal length from a single motion-blurred frame. We also use the results from two seperate methods for determining the rotation of a pair of motion-blurred frames to estimate the exposure time of a frame (i.e. the shutter angle).

    Details

    Item Type Conference or Workshop Items (Paper)
    CreatorsBarber, A., Brown, M., Hogbin, P. and Cosker, D.
    DOI10.1145/2668904.2668934
    DepartmentsFaculty of Science > Computer Science
    Research CentresMedia Technology Research Centre
    EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    Publisher Statementcvmp_paper_camera_ready.pdf: © ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published inBarber, A, Brown, M, Hogbin, P & Cosker, D 2014, 'Estimating Camera Intrinsics From Motion Blur' Paper presented at Conference for Visual Media Production, London, United Kingdom, 13/11/14 - 14/11/14 http://doi.acm.org/10.1145/2668904.2668934
    RefereedYes
    StatusPublished
    ID Code43483

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