| Project/Area Number |
26330206
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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 | Tokyo Denki University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
石原 聖司 東京電機大学, 理工学部, 教授 (50351656)
滝口 孝志 防衛大学校(総合教育学群、人文社会科学群、応用科学群、電気情報学群及びシステム工, 総合教育学群, 准教授 (50523023)
古川 貴雄 共立女子大学, 家政学部, 教授 (70262699)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 物体認識 / 文書認識 / せん断歪み / 射影歪み / ラドン変換 / 非線形マッチング / RANSACアルゴリズム / 弾性マッチング / 射影変換 / 消失点 / 国際研究交流 / フランス / 射影変形 / 国際情報交換 |
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| Outline of Final Research Achievements |
Robust pattern recognition methods based on Radon transform under various distortions are discussed. Our proposed recognition methods are invariant for Affine distortions on shapes (rotation, scaling, translation, and shearing) using Radon transform and a non-linear matching (Dynamic Time Warping). Moreover, for document recognition, a correction method for perspective distortions using vanishing points made by text lines is discussed. Some noisy lines unrelated to the vanishing points are removed using RANSAC algorithm in the Radon domain.
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