摘要
In this paper, a compact imaging system is developed to enable simultaneous acquisition of the spectral and depth information in real-time with high resolution. We achieve this goal using only two commercial cameras and relying on an efficient computational reconstruction algorithm with deep learning. For the first time, this work allows 5D information (3D space + 1D spectrum + 1D time) of the target scene to be captured with a miniaturized apparatus and without active illumination.
源语言 | 英语 |
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主期刊名 | SIGGRAPH Asia 2019 Posters, SA 2019 |
出版商 | Association for Computing Machinery, Inc |
ISBN(电子版) | 9781450369435 |
DOI | |
出版状态 | 已出版 - 17 11月 2019 |
活动 | SIGGRAPH Asia 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2019 - Brisbane, 澳大利亚 期限: 17 11月 2019 → 20 11月 2019 |
出版系列
姓名 | SIGGRAPH Asia 2019 Posters, SA 2019 |
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会议
会议 | SIGGRAPH Asia 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2019 |
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国家/地区 | 澳大利亚 |
市 | Brisbane |
时期 | 17/11/19 → 20/11/19 |
指纹
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Yao, M., Xiong, Z., Wang, L., Liu, D., & Chen, X. (2019). Computational spectral-depth imaging with a compact system. 在 SIGGRAPH Asia 2019 Posters, SA 2019 文章 3364570 (SIGGRAPH Asia 2019 Posters, SA 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3355056.3364570