2020 Fiscal Year Final Research Report
Camera Calibration with Kaleidoscopic Imaging
| Project/Area Number |
18K19815
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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 | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2018-06-29 – 2021-03-31
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| Keywords | カメラキャリブレーション / ３次元形状復元 / 鏡映変換 / 偏光 |
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| Outline of Final Research Achievements |
This research realized a novel camera calibration from mirror reflections. It parses the structure of kaleidoscopic images automatically, and exploits the estimated structure to realize a robust and accurate calibration. Extensive evaluations demonstrate that the proposed algorithm outperforms the state-of-the-art methods quantitatively. In addition to this calibration, this research also studied extensions to refraction, Fresnel reflection, absorption by Beer-Lambert law, and polarization. Each of them realized a novel 3D surface normal and shape recovery algorithm and a calibration method for the novel capture setup. These achievements open new avenues for applications in underwater and outdoor 3D sensing.
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| Free Research Field |
コンピュータビジョン
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| Academic Significance and Societal Importance of the Research Achievements |
本研究によって実現された複合鏡を用いたカメラキャリブレーションは，コンピュータビジョン技術に基づいた実世界の３次元計測を行う上で不可欠であるカメラキャリブレーションを簡便かつ頑健に実現させる新たな手法として幅広く利用することができる．またこの研究を足掛かりとして取り組んだ光の吸収や偏光を利用した水中および屋外環境における３次元形状計測は，これまでコンピュータビジョン技術の適用が困難であった領域に対してよりシンプルな計測手段を提供することができる．
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