2011 Fiscal Year Final Research Report
A Study on Robust Image Matching between Images Hard to Correspond and its Application
| Project/Area Number |
21500167
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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 | Toyohashi University of Technology |
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Principal Investigator |
KANAZAWA Yasushi 豊橋技術科学大学, 大学院・工学研究科, 准教授 (50214432)
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| Project Period (FY) |
2009 – 2011
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| Keywords | コンピュータビジョン |
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| Research Abstract |
In order to find correspondences between two images hard to match, we have proposed a matching method for endoscopic image of the intestine, matching method between the images including repetitive patterns. These methods are robust and accurate compared with the usual methods. As the applications of these methods, we have also proposed an extension method for the intestine CT image and its frequency analysis and a cost function for a shape reconstructed from two views. We have shown the effectiveness of these methods.
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