Super-resolution 3D model acqulsitlon from multlple example images
| Project/Area Number |
20700157
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kyoto University |
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Principal Investigator |
IIYAMA Masaaki Kyoto University, 経済学研究科, 准教授 (70362415)
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| Research Collaborator |
FUNATOMI Takuya 京都大学, 学術情報メディアセンター, 助教 (20452310)
TOYOURA Masahiro 山梨大学, 医学工学総合研究部, 助教 (80550780)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | コンピュータビジョン / 3次元モデル / 超解像度 / テクスチャマッピング |
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| Research Abstract |
Our research aims to establish a novel super-resolution technique for 3D object model. In our research, a resolution of 3D object model is up-scaled by learning-based super-resolution technique; missing details of 3D object model is compensated by example images. Experimental results with real images demonstrate the effectiveness of our method.
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Report
(3 results)
Research Products
(15 results)
