Pose-invariant, model-based object recognition, using linear combination of views and Bayesian statistics
This thesis presents an in-depth study on the problem of object recognition, and in particular the detection of 3-D objects in 2-D intensity images which may be viewed from a variety of angles. A solution to this problem remains elusive to this day, since it involves dealing with variations in geome...
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University College London (University of London)
2009
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.564758 |