Presentation | 2002/10/11 Probabilistic Relaxation Method in Multi-Resolusion Space for Regularization of Correspondence Detection Problem Jun MATSUO, Hiroyuki KUDO, |
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Abstract(in English) | Correspondence detection problem is an inverse problem which needs a regularization method. Untill now, this problem was solved by using the local smoothing constraint. But, unfeatured regions cannot be smoothed sufficiently and edges are over-smoothed in these methods. In this paper, we propose a correspondence detection method which is based on propagating solutions in multi-resolution space. This method can control degree of smoothing in unfeatured region and edges. Low resolution solution includes false correspondence, but this problem is solved by applying the probabilistic relaxation in multi-resolution. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Correspondence detection problem / regularization method / multi-resolution space / probabilistic relaxation |
Paper # | NC2002-56 |
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Committee | NC |
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Conference Date | 2002/10/11(1days) |
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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) | Probabilistic Relaxation Method in Multi-Resolusion Space for Regularization of Correspondence Detection Problem |
Sub Title (in English) | |
Keyword(1) | Correspondence detection problem |
Keyword(2) | regularization method |
Keyword(3) | multi-resolution space |
Keyword(4) | probabilistic relaxation |
1st Author's Name | Jun MATSUO |
1st Author's Affiliation | Doctoral Program in System Information Engineering, University of Tsukuba() |
2nd Author's Name | Hiroyuki KUDO |
2nd Author's Affiliation | Institute of Information Sciences and Electronics, University of Tsukuba |
Date | 2002/10/11 |
Paper # | NC2002-56 |
Volume (vol) | vol.102 |
Number (no) | 382 |
Page | pp.pp.- |
#Pages | 6 |
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