3D modeling using an RGBD camera in the mobile environment and its application to mixed reality
| Project/Area Number |
16H02851
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perceptual information processing
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
Sugimoto Akihiro 国立情報学研究所, コンテンツ科学研究系, 教授 (30314256)
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| Co-Investigator(Kenkyū-buntansha) |
大石 岳史 東京大学, 生産技術研究所, 准教授 (80569509)
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| Research Collaborator |
PAJDLA tomas
THOMAS diego
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
Fiscal Year 2018: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2017: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2016: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
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| Keywords | 3次元モデル / 複合現実感 / モバイル環境 / コンピュータビジョン / ３次元モデル |
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| Outline of Final Research Achievements |
We aimed at developing a method for constructing high fidelity 3D models in real time with less memory consumption from streaming input data captured by an RGBD camera in the mobile environment. We developed a parametric surface representation for dense 3D modeling, a model fitting method, robust and accurate depth fusion, and so on. As a result, we succeeded in accurately modeling large-scale indoor scenes in real time with cheap memory consumption. We could also show the effectiveness of our developed methods for mixed reality in the outdoor scenes.
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| Academic Significance and Societal Importance of the Research Achievements |
省メモリでリアルタイムに３次元モデルを高精度に生成する技術は、スマートフォンの写真撮影や映像撮影の要領で、エンドユーザがだれでも思い立った時にその場で、簡単にリアルタイムで３次元モデルを生成し、それを手軽に楽しめる環境を提供するものである。通信技術と連携することで、訪問が困難な博物館に保管された展示物や未公開遺産のモデル化・伝送を通じた文化遺産の３次元情報発信、遠隔講義おける教材提供の充実、３次元地図データ生成などへの応用が見込まれる。
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Report
(4 results)
Research Products
(48 results)
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[Journal Article] Degeneracies in Rolling Shutter SfM2016
Author(s)
C. Albl, A. Sugimoto, and T. Pajdla
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Journal Title
Proc. of European Conference on Computer Vision (ECCV2016)
Volume: Part V (LNCS Vol. 9909)
Pages: 36-51
DOI
ISBN
9783319464534, 9783319464541
Related Report
Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
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