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).
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 language | English |
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Number of pages | 10 |
DOIs | |
Publication status | Published - 14 Nov 2014 |
Event | Conference for Visual Media Production - London, UK United Kingdom Duration: 13 Nov 2014 → 14 Nov 2014 |
Conference
Conference | Conference for Visual Media Production |
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Country/Territory | UK United Kingdom |
City | London |
Period | 13/11/14 → 14/11/14 |