Estimating Camera Intrinsics From Motion Blur

Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker

Research output: Contribution to conferencePaperpeer-review

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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).
Original languageEnglish
Number of pages10
Publication statusPublished - 14 Nov 2014
EventConference for Visual Media Production - London, UK United Kingdom
Duration: 13 Nov 201414 Nov 2014


ConferenceConference for Visual Media Production
Country/TerritoryUK United Kingdom


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