Approximate optimization and learning of higher-order energy
Project/Area Number |
24300075
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Partial Multi-year Fund |
Section | 一般 |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Waseda University |
Principal Investigator |
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Project Period (FY) |
2012-04-01 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
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Budget Amount *help |
¥17,680,000 (Direct Cost: ¥13,600,000、Indirect Cost: ¥4,080,000)
Fiscal Year 2014: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2013: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
Fiscal Year 2012: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
|
Keywords | 最適化 / コンピュータビジョン |
Outline of Final Research Achievements |
We realized an algorithm that approximately minimize non-submodular multi-label energies. We also made it possible to minimize binary higher-order energies faster and with less memory by enabling to reduce them into first-order energies without adding additional variables in certain cases. As applications of higher-order energies, we used them for segmentation of pulmonary artery-vein segmentation, where we represented the shapes of pulmonary blood vessels by higher-order potentials. We also improved algorithms to segment coronary lumen and plaques from CT angiography, also using higher-order shape priors.
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Report
(4 results)
Research Products
(21 results)
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[Presentation] 多視点照度差画像を用いた光源方向推定2014
Author(s)
岩野 俊介, 小山田 雄仁, 望月 義彦, 石川 博
Organizer
情報処理学会 第192回コンピュータビジョンとイメージメディア(CVIM)研究会
Place of Presentation
近畿大学
Year and Date
2014-05-15 – 2014-05-16
Related Report
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[Presentation] 1階のデータ項を用いた多臓器同時セグメンテーション2014
Author(s)
森田 皆人, 岡川 明日翔, 小滝 将太, 望月 義彦, 小山田 雄仁, 石川 博
Organizer
情報処理学会 第192回コンピュータビジョンとイメージメディア(CVIM)研究会
Place of Presentation
近畿大学
Year and Date
2014-05-15 – 2014-05-16
Related Report
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[Presentation] グラフカット・その後
Author(s)
石川博
Organizer
画像の認識・理解シンポジウム(MIRU2013)
Place of Presentation
国立情報学研究所
Related Report
Invited
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