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Multiresolution Gaussian mixtures for image analysis
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UNSPECIFIED (2002) Multiresolution Gaussian mixtures for image analysis. In: 5th Conference on Mathematics in Signal Processing, UNIV WARWICK, COVENTRY, ENGLAND, DEC 18-20, 2000. Published in: MATHEMATICS IN SIGNAL PROCESSING V (71). pp. 205-215. ISBN 0-19-850734-8.
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Abstract
This paper introduces a generalization of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar concept of multiple resolutions, but applied to a Gaussian mixture density representation of the image. It is shown that MGMM can approximate any probability density and can accommodate the effects of smooth motions. After a brief presentation of the theory, examples are used to show how MGMM can be applied to problems such as segmentation.
Item Type: | Conference Item (UNSPECIFIED) | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Series Name: | INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES : NEW SERIES | ||||
Journal or Publication Title: | MATHEMATICS IN SIGNAL PROCESSING V | ||||
Publisher: | CLARENDON PRESS | ||||
ISBN: | 0-19-850734-8 | ||||
Editor: | McWhirter, JG and Proudler, IK | ||||
Official Date: | 2002 | ||||
Dates: |
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Number: | 71 | ||||
Number of Pages: | 11 | ||||
Page Range: | pp. 205-215 | ||||
Publication Status: | Published | ||||
Title of Event: | 5th Conference on Mathematics in Signal Processing | ||||
Location of Event: | UNIV WARWICK, COVENTRY, ENGLAND | ||||
Date(s) of Event: | DEC 18-20, 2000 |
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