Segmentation-free non-linear registration of image
| Project/Area Number |
20500159
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | The University of Aizu |
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Principal Investigator |
OKA Ryuichi The University of Aizu, コンピュータ理工学部, 教授 (60347242)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 画像理解 / マッチング / スポッティング / 動的計画法 / レジストレーション / ステレオ画像 / オプティカルフロー |
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| Research Abstract |
The methods of image registration has been suffered from solving problems of parameter optimization of a model which is manually constructed. Moreover the segmentation is another difficult problem to be solved. These problems are commonly shared among the algorithms based on so-called model-based methods in image registration. In order to overcome these difficulties, we proposed algorithms based on appearance-based method which does not need any parameter to describe a model. A set of sub-images allocated in an image becomes a model to be registered on an input image. Our algorithm is based on so-called 2-dimensional dynamic programming which carries out full-pixel matching between images and also realizes so-called spotting, namely, segmentation-free optimal non-linear matching. Non-linear property includes two kinds of allowance of non-linear variation, namely, allocation of sub images and deformation of each sub-image. The experimental results showed that the proposed image registration works very well in the scheme of appearance-based method.
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Report
(4 results)
Research Products
(33 results)
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[Presentation] Pixel Tracker2009
Author(s)
Yuichi YAGUCHI, Hisato AOTA, Ryuichi OKA
Organizer
Proceedings of meeting on Image Recognition and understanding
Place of Presentation
Matsue Japan
Related Report
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