Time-correlated vision: computer vision technologies using nanosecond time-correlated images
| Project/Area Number |
18H03265
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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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| Review Section |
Basic Section 61010:Perceptual information processing-related
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| Research Institution | Ritsumeikan University (2021-2022)
Nara Institute of Science and Technology (2018-2020) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
青砥 隆仁 筑波大学, システム情報系, 助教 (00785462)
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| Project Period (FY) |
2018-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2022: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2021: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2020: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2019: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2018: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
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| Keywords | コンピューテーショナルフォトグラフィ / コンピュテーショナルフォトグラフィ / コンピュータビジョン |
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| Outline of Final Research Achievements |
The purpose of this research is to develop a scheme of time-resolved computer vision research, where nano-second time correlated observations are used for various computer vision problems. We have developed a time-resolved measurement system and evaluated its applications such as recovering 3D shape of various scenes, estimating materials, visualizing invisible scenes, and so on. We have confirmed that time-resolved computer vision is powerful and has a lot of future directions of research.
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| Academic Significance and Societal Importance of the Research Achievements |
従来のコンピュータビジョンの研究は，定常的な２次元画像を入力とすることを前提として進化してきた．しかしながら，定常的な画像は，カメラという計測デバイスの制約によるものにすぎず，シーンの認識・理解に最適なわけではない．本研究では，光の軌跡さえ可視化可能なナノ秒単位の超高速な光の過渡応答に基づく画像理解である「時間相関ビジョン」を提案した．光の過渡応答は，物体の物性や形状，内部状態などの情報と密接に関連しているため，シーン理解の強力な手助けになる．光の時間的な応答をもとに問題を解決しようという，従来のシーン理解とは異なる角度からのアプローチであり，新しいコンピュータビジョンの潮流を開拓できた．
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Report
(6 results)
Research Products
(18 results)
