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Multiresolution Gaussian mixture models for visual motion estimation
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UNSPECIFIED (2001) Multiresolution Gaussian mixture models for visual motion estimation. In: International Conference on Image Processing (ICIP 2001), THESSALONIKI, GREECE, OCT 07-10, 2001. Published in: 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS pp. 921-924. ISBN 0-7803-6725-1.
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Abstract
This paper introduces a new generalisation 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 representation of the image - hence the title MGMM. It is shown that MGMM can approximate any probability density and can adapt to smooth motions. After a brief presentation of the theory, it is shown how MGMM can be applied to the estimation of visual motion.
Item Type: | Conference Item (UNSPECIFIED) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Journal or Publication Title: | 2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | ||||
Publisher: | IEEE | ||||
ISBN: | 0-7803-6725-1 | ||||
Official Date: | 2001 | ||||
Dates: |
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Number of Pages: | 4 | ||||
Page Range: | pp. 921-924 | ||||
Publication Status: | Published | ||||
Title of Event: | International Conference on Image Processing (ICIP 2001) | ||||
Location of Event: | THESSALONIKI, GREECE | ||||
Date(s) of Event: | OCT 07-10, 2001 |
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