| Project/Area Number |
21500172
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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 | Okayama University |
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Principal Investigator |
KANATANI Kenichi 岡山大学, 大学院・自然科学研究科, 教授 (60125838)
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| Co-Investigator(Kenkyū-buntansha) |
NIITSUMA Hirotaka 岡山大学, 大学院・自然科学研究科, 助教 (60452562)
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| Co-Investigator(Renkei-kenkyūsha) |
SUGAYA Yasuyuki 豊橋技術科学大学, 工学部, 准教授 (00335580)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 幾何学的推定 / 最適化手法 / 最尤推定 / 超精度最小二乗法 / 超精度くりこみ法 / 3次元形状復元 / 楕円当てはめ / カメラ校正 / 回転推定 / 相似変換推定 / ガウス・ニュートン法 / ガウス・ヘルマート法 / GPSデータ解析 / 最適計算 / 三角測量 / ハンドル調整 / 魚眼レンズカメラ / 基礎行列 / 射影変換 / パノラマ画像 |
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| Research Abstract |
We have established a high-accuracy method for reconstructing 3-D shapes from multiple images by means of orthogonal projection. As byproducts, many new optimization techniques have been discovered for computing geometric properties from noisy data, including an iterative technique for exact maximum likelihood computation, high-accuracy non-iterative "hyper-least squares", and "hyper-renormalization" with higher accuracy than maximum likelihood.
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