Estimating Camera Intrinsics From Motion Blur


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.

Related documents:

PDF (cvmp_paper_camera_ready) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (4MB) | Preview

    Official URL:


    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).


    Item Type Conference or Workshop Items (Paper)
    CreatorsBarber, A., Brown, M., Hogbin, P. and Cosker, D.
    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
    ID Code43483


    Actions (login required)

    View Item

    Document Downloads

    More statistics for this item...