| Presentation | 2009-03-13 Superresolution from Occluded Scenes Wataru FUKUDA, Atsunori KANEMURA, Shin-ichi MAEDA, Shin ISHII, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a Bayesian image superresolution method that estimates a high-resolution background image from a sequence of occluded observations. We assume that the occlusions have spatial and temporal continuities. Such assumptions are plausible for example when satellite images are occluded by clouds or when a tourist site is obstructed by people. Although the exact inference of our model is difficult, an efficient superresolution algorithm is derived by using a variational Bayes technique. Experiments show that our superresolution method performs better than existing methods that do not assume the occlusions or that assume the occlusions but do not assume the temporal continuities of the occlusions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image superresolution / variational techniques / moving occlusion |
| Paper # | NC2008-155 |
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| Committee | NC |
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| Conference Date | 2009/3/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Superresolution from Occluded Scenes |
| Sub Title (in English) | |
| Keyword(1) | Image superresolution |
| Keyword(2) | variational techniques |
| Keyword(3) | moving occlusion |
| 1st Author's Name | Wataru FUKUDA |
| 1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
| 2nd Author's Name | Atsunori KANEMURA |
| 2nd Author's Affiliation | Graduate School of Informatics, Kyoto University |
| 3rd Author's Name | Shin-ichi MAEDA |
| 3rd Author's Affiliation | Graduate School of Informatics, Kyoto University |
| 4th Author's Name | Shin ISHII |
| 4th Author's Affiliation | Graduate School of Informatics, Kyoto University |
| Date | 2009-03-13 |
| Paper # | NC2008-155 |
| Volume (vol) | vol.108 |
| Number (no) | 480 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |