2022 Fiscal Year Final Research Report
Computational Thermography: Innovation of Thermography using Computational Imaging Techniques
| Project/Area Number |
20K21822
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 61:Human informatics and related fields
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| Research Institution | University of Tsukuba (2021-2022)
National Institute of Informatics (2020) |
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Principal Investigator |
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| Project Period (FY) |
2020-07-30 – 2023-03-31
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| Keywords | サーモグラフィ / コンピュータビジョン |
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| Outline of Final Research Achievements |
As the outcome throughout this research, we proposed a method to estimate the distance to a thermal object by measuring the attenuation of far-infrared light in the atmosphere from two sets of bispectral measurements. The feature of this method is that it is a passive sensing method that does not require any light source or heat source, but rather utilizes far-infrared light radiated from the thermal object itself. Currently, it is demonstrated that the method is able to estimate the distance to a relatively hot object several meters to several tens of meters away.
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| Free Research Field |
コンピュテーショナルフォトグラフィ
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| Academic Significance and Societal Importance of the Research Achievements |
サーモグラフィは様々な分野においてすでに活用されているが，どの分野でも計測された温度を解析することに基づいており，サーモグラフィの本質である遠赤外光の解析ではない．すなわち，サーモグラフィは温度計測としての価値しか知られていないのが現状である．本研究によって，これらの学術領域における解析を飛躍的に進化させることに貢献できるのみならず，これまでサーモグラフィを利用してこなかった分野にまで活躍の場を与えるなど，大きな波及効果が期待される．
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