2012 Fiscal Year Final Research Report
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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| 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 |
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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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Research Products
(4 results)
