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Image template matching using Mutual Information and NP-Windows

9 years 11 months ago
Image template matching using Mutual Information and NP-Windows
A non-parametric (NP) sampling method is introduced for obtaining the joint distribution of a pair of images. This method is called NP windowing and is equivalent to sampling the images at infinite resolution. Unlike existing methods, arbitrary selection of kernels is not required and the spatial structure of images is used. NP windowing is applied to a registration application where the mutual information (MI) between a reference image and a warped template is maximised with respect to the warp parameters. In comparisons against the current state of the art MI registration methods NP windowing yielded excellent results with lower bias and improved convergence rates.
N. D. H. Dowson, Richard Bowden, Timor Kadir
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors N. D. H. Dowson, Richard Bowden, Timor Kadir
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