@inproceedings{fb332bab7d584317a700eb2a23229c96,
title = "Computational spectral-depth imaging with a compact system",
abstract = "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.",
keywords = "Deep learning, Depth imaging, Spectral imaging",
author = "Mingde Yao and Zhiwei Xiong and Lizhi Wang and Dong Liu and Xuejin Chen",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s).; SIGGRAPH Asia 2019 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2019 ; Conference date: 17-11-2019 Through 20-11-2019",
year = "2019",
month = nov,
day = "17",
doi = "10.1145/3355056.3364570",
language = "English",
series = "SIGGRAPH Asia 2019 Posters, SA 2019",
publisher = "Association for Computing Machinery, Inc",
booktitle = "SIGGRAPH Asia 2019 Posters, SA 2019",
}