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MGMM: Multiresolution Gaussian mixture models for computer vision COMPUTER VISION AND IMAGE ANALYSIS
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UNSPECIFIED (2000) MGMM: Multiresolution Gaussian mixture models for computer vision COMPUTER VISION AND IMAGE ANALYSIS. In: 15th International Conference on Pattern Recognition (ICPR-2000), SEP 03-07, 2000, BARCELONA, SPAIN.
Full text not available from this repository.Abstract
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The,representation uses the familial concept of multiple resolutions, bur applied to a Gaussian mixture representation of the image - hence the title MGMM. It is shown that MGMM call approximate any probability density. Examples show how MGMM call be applied to problems such as segmentation and motion analysis.
| Item Type: | Conference Item (UNSPECIFIED) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Series Name: | INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION |
| Journal or Publication Title: | 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS |
| Publisher: | IEEE COMPUTER SOC |
| ISBN: | 0-7695-0751-4 |
| ISSN: | 1051-4651 |
| Editor: | Sanfeliu, A and Villanueva, JJ and Vanrell, M and Alquezar, R and Eklundh, JO and Aloimonos, Y |
| Date: | 2000 |
| Number of Pages: | 4 |
| Page Range: | pp. 212-215 |
| Publication Status: | Published |
| Title of Event: | 15th International Conference on Pattern Recognition (ICPR-2000) |
| Location of Event: | BARCELONA, SPAIN |
| Date(s) of Event: | SEP 03-07, 2000 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/11422 |
Data sourced from Thomson Reuters' Web of Knowledge
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