Robust Image Projection System for the 3D Object based on Point Cloud Registration dealing with Point Sets having Different Numbers of Points
Project/Area Number |
25330181
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perceptual information processing
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Research Institution | Hokkai-Gakuen University (2014-2015) Muroran Institute of Technology (2013) |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
KANEKO Shun'ichi 北海道大学, 情報科学研究科, 教授 (50134789)
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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Keywords | 画像情報処理 / 視覚情報提示 / 3次元形状認識 / 点群照合 / 知能ロボティクス / Time-of-Flight カメラ |
Outline of Final Research Achievements |
We developed the "2D projector" which can project a 2D image onto a 3D object and display images easily viewable for users. Point cloud registration between the model point set and the data point set is used to obtain the detailed shape information of the 3D projection object. The model point set obtained from offline measurement is high-resolution and dense data. In contrast, the data point set measured by TOF camera is sparse data. Additionally, we developed a distortion correction technique of projected images using the shape information of the 3D projection object obtained as point cloud data. The technique enables 2D image projection onto a curved concave-convex surface.
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Report
(4 results)
Research Products
(11 results)