2017 Fiscal Year Final Research Report
Energy design for high dimensional image processing based on higher order energy minimization
| Project/Area Number |
26730097
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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 |
Perceptual information processing
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| Research Institution | Waseda University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Keywords | 高階エネルギー最小化 / グラフカット / 医用画像処理 / 全方位画像 |
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| Outline of Final Research Achievements |
In this research, we propose the methods for constructing and learning higher order energy for various problems on computer vision. (1) For high dimensional images, such as 3D CT volumes or spatio-temporal images, we constructed the energy on the superpixels or supervoxels. (2) For the camera image projected on the curved surface, energy for the extracted unstructured line segment set was constructed.
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| Free Research Field |
コンピュータービジョン
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