A study on a new representation and acquisition principle of a free-viewpoint video
| Project/Area Number |
24560450
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Nagoya University |
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Principal Investigator |
FUJII Toshiaki 名古屋大学, 工学(系)研究科(研究院), 教授 (30273262)
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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 |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 自由視点映像 / 奥行きマップ / 光線空間 / 疎表現 / エピポーラ平面画像 / 圧縮センシング |
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| Outline of Final Research Achievements |
"View plus Depth" data has been considered as a promising data format for future 3-D visual communication. However, this format is not feasible for real situation where no accurate depth information is available. We addressed the problem by proposing a new representation format that requires no depth information. We focused on a ray space representation, which can generate free-viewpoint images without depth data. First, we proposed to adopt compressed sensing to sparsely sense and reconstruct a ray space. We focused on an Epipolar Plane Image (EPI) block and approximated it by using common orthonormal basis in compressed sensing procedure. Second, we proposed a statistically weighted model in the reconstruction of compressively sampled ray space. For both cases, in the experiment, we confirmed hat the proposed method can achieve much better reconstruction quality for both 2D image patch and 3D image cube cases.
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Report
(4 results)
Research Products
(26 results)
