Study of Super Accurate Methods for Geometric Inference from Images
| Project/Area Number |
22300057
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 | Tohoku University |
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Principal Investigator |
OKATANI Takayuki 東北大学, 大学院・情報科学研究科, 准教授 (00312637)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥13,000,000 (Direct Cost: ¥10,000,000、Indirect Cost: ¥3,000,000)
Fiscal Year 2012: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2011: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2010: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
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| Keywords | コンピュータビジョン / 3次元モデリング / 形状復元 / 形状計測 / 数理統計学 / 画像認識 / 3次元形状復元 / 市街地モデリング / 多視点画像 / 画像計測 / 多視点画像処理 |
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| Research Abstract |
This study is concerned with the problems of estimating geometric information such as the three dimensional shape of an object from its image(s) captured by a camera. We have sought for the theoretically most accurate methods along with development of their applications. Our achievements include a new numerical method for matrix factorization, a calibration method for projector-camera systems, a super-accurate planar tracking method, a method for spatiotemporal modeling and visualization of a city from its images captured by a vehicle-mounted camera, a calibration method for vehicle-mounted stereo cameras, a super-accurate shape measuring method based on the integration with photometric methods, new optimization methods for Markov random fields, etc.
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Report
(4 results)
Research Products
(44 results)
