Image quality enhancement in arbitrary viewpoint image synthesis by the sparse sampling
| Project/Area Number |
23700217
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 画像情報処理 / 任意視点画像合成 / スパースサンプリング / 圧縮センシング / ステレオマッチング / スパースコーディング / 画素補完 / 多視点画像 |
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| Research Abstract |
Major problems of traditional methods to synthesize virtual-view images are that it is difficult to precisely complete missing pixels in synthesized images and that it requires huge amount of data storage and computational efforts. In this research, we propose methods to overcome these difficulties by using techniques of the sparse sampling and the compressed sensing. Experimental results show the validity of the proposed methods qualitatively and quantitatively
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Report
(3 results)
Research Products
(9 results)
