Image template matching using mutual information and NP-Windows
Dowson, NDH, Bowden, R and Kadir, T (2006) Image template matching using mutual information and NP-Windows In: 18th International Conference on Pattern Recognition (ICPR 2006), 2006-08-20 - 2006-08-24, Hong Kong, PEOPLES R CHINA.
dowson06ICPRNPwindows-preprint.pdf - Accepted version Manuscript
Available under License : See the attached licence file.
A non-parametric (NP) sampling method is introduced for obtaining the joint distribution of a pair of images. This method based on 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
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Identification Number :||https://doi.org/10.1109/ICPR.2006.691|
|Uncontrolled Keywords :||REGISTRATION|
|Additional Information :||© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||04 May 2012 15:41|
|Last Modified :||23 Sep 2013 19:24|
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