| Project/Area Number |
15K00232
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perceptual information processing
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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, 工学(系)研究科(研究院), 准教授 (50214432)
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| Co-Investigator(Kenkyū-buntansha) |
太田 直哉 群馬大学, 大学院理工学府, 教授 (10270860)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 3次元復元 / 内視鏡画像 / ドローン / 砂浜形状 / 特殊環境 / 内視鏡カメラ / 対応付け / 高精度な形状復元 / ３次元復元 / 内視鏡 |
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| Outline of Final Research Achievements |
The purpose of this research is to reconstruct an accurate 3-D shape of an environment from images taken with the camera under a restricted condition and environment. For doing this, we have proposed an accurate image matching method and accurate parameter computation methods. In 3-D reconstruction from the endoscopic camera image, we showed the effectiveness of our method that adopt a frame selection method using "shape cost" and a focal length estimation method using Gibbs sampling. In 3-D reconstruction from UAV camera image, we also showed that we can obtain very accurate 3-D reconstruction of sands by using homography-based reconstruction and proposed frame selection method. We have realize real-time 3-D reconstruction system from a camera of UAV.
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