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Items where Author is "Dowson, N"

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Number of items: 10.

Article

Ellis, L, Dowson, N, Matas, J and Bowden, R (2011) Linear regression and adaptive appearance models for fast simultaneous modelling and tracking International Journal of Computer Vision, 95. 154-179 - 154-179.

Dowson, N, Kadir, T and Bowden, R (2008) Estimating the joint statistics of images using Nonparametric Windows with application to registration using Mutual Information IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 30 (10). pp. 1841-1857.

Dowson, N and Bowden, R (2008) Mutual information for Lucas-Kanade tracking (MILK): An inverse compositional formulation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 30 (1). pp. 180-185.

Conference or Workshop Item

Ellis, L, Dowson, N, Matas, J and Bowden, R (2007) Linear predictors for fast simultaneous modeling and tracking In: 11th IEEE International Conference on Computer Vision, 2007-10-14 - 2007-10-21, Rio de Janeiro, BRAZIL.

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.

Dowson, NDH and Bowden, R (2006) N-tier Simultaneous Modelling and Tracking for Arbitrary Warps In: BMVC 2006, 2006-09-04 - 2006-09-07, Edinburgh, UK.

Dowson, N and Bowden, R (2006) A unifying framework for mutual information methods for use in non-linear optimisation In: ECCV 2006, 2006-05-07 - 2006-05-13, Graz, Austria.

Dowson, NDH and Bowden, R (2005) Simultaneous modeling and tracking (SMAT) of feature sets In: Conference on Computer Vision and Pattern Recognition, 2005-06-20 - 2005-06-25, San Diego, CA.

Dowson, N and Bowden, R (2004) Metric mixtures for mutual information ((MI)-I-3) tracking In: 17th International Conference on Pattern Recognition (ICPR), 2004-08-23 - 2004-08-26, British Machine Vis Assoc, Cambridge, ENGLAND.

Thesis

Dowson, N. D. H. (2006) Simultaneously Modelling and Tracking Using Mutual Information. Doctoral thesis, University of Surrey (United Kingdom)..

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