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Multiresolution particle filters in image processing
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Mullins, Andrew, Bowen, Adam, Wilson, Roland and Rajpoot, Nasir M. (2006) Multiresolution particle filters in image processing. In: 7th International Conference on Mathematics in Signal Processing, Cirencester, UK, 18-20 Dec 2006
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Abstract
Recursively estimating the likelihood of a set of parameters, given a series of observations, is a common problem in signal processing. The particle filter is now a well-known alternative to the Kalman filter. It represents the likelihood as a set of samples with associated weights and so can approximate any distribution. It can be applied to problems where the process model and/or measurement model is non-linear. We apply the particle filter to the problem of estimating the structure of a scene from n views of that scene, by applying the particle filter across image resolutions
Item Type: | Conference Item (Paper) | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Signal processing -- Digital techniques -- Mathematics, Digital filters (Mathematics) | ||||
Official Date: | 2006 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Date of first compliant deposit: | 28 July 2016 | ||||
Date of first compliant Open Access: | 28 July 2016 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||
Grant number: | GR/S97934/01 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 7th International Conference on Mathematics in Signal Processing | ||||
Type of Event: | Conference | ||||
Location of Event: | Cirencester, UK | ||||
Date(s) of Event: | 18-20 Dec 2006 | ||||
Related URLs: |
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