Presentation | 2009-06-19 Super Resolution Texture Mapping from Multiview Images and Example Images Masaaki IIYAMA, Koh KAKUSHO, Michihiko MINOH, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents an artifact-free super-resolution texture maping method from multiple view images. The multiple view images are upsampled with a learning-based super-resolution technique and are mapped onto a 3D mesh model. However, mapping multiview images onto a 3D model is not an easy task, because artifacts may appear when different upsampled images are mapped onto neighboring meshes. We define a cost function that becomes large when the artifacts appear on neighboring meshes, and our method searches the image-and-mesh assignment which minimizes the cost function. Experimental results with real images demonstrate the effectiveness of our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Super resolution / Texture mapping / Graph cut |
Paper # | PRMU2009-54 |
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Committee | PRMU |
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Conference Date | 2009/6/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Super Resolution Texture Mapping from Multiview Images and Example Images |
Sub Title (in English) | |
Keyword(1) | Super resolution |
Keyword(2) | Texture mapping |
Keyword(3) | Graph cut |
1st Author's Name | Masaaki IIYAMA |
1st Author's Affiliation | Graduate School of Economics, Kyoto University() |
2nd Author's Name | Koh KAKUSHO |
2nd Author's Affiliation | School of Science and Technology, Kwansei Gakuin University |
3rd Author's Name | Michihiko MINOH |
3rd Author's Affiliation | Acamemic Center for Computing and Media Studies, Kyoto University |
Date | 2009-06-19 |
Paper # | PRMU2009-54 |
Volume (vol) | vol.109 |
Number (no) | 88 |
Page | pp.pp.- |
#Pages | 6 |
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