Franc Solina and Aleš Leonardis (1992) Selective Scene Modeling. In: 11th IAPR International Conference on Pattern Recognition, August 30 - September 3, 1992, The Hague, The Netherlands.
Abstract
In this paper we propose an efficient architecture for selective image modeling. We give an example in which models of different scale are reconstructed in parallel. We show that this redundant representation can effectively be pruned using the criterion of {\sf Minimum Description Length}. Models that are selected in the final description indicate the appropriate scale of observation.
| Item Type: | Conference or Workshop Item (Paper) |
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| Keywords: | scale of observation, minimum descrition length |
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| Language of Content: | English |
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| Related URLs: | |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Computer Vision Laboratory |
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| Item ID: | 43 |
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| Date Deposited: | 05 Feb 2003 |
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| Last Modified: | 13 Dec 2013 08:37 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/43 |
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