Add to BibSonomyAbstract
We propose a reconstruction method of objects out of the line of sight using deep learning. Scattered light is captured by an 8-bit CMOS camera and a 16-bit cooled CCD camera. We demonstrate that the object can be reconstructed by DNN using small irradiance fluctuations in the captured images.
© 2022 IEEE
PDF ArticleMore Like This
In-line hologram reconstruction with deep learning
Hao Wang, Meng Lyu, Ni Chen, and Guohai Situ
DW2F.2 Digital Holography and Three-Dimensional Imaging (DH) 2018
Overview of object detection in low light using deep learning and polarimetric three-dimensional integral imaging
Kashif Usmani, Timothy O’Connor, Gokul Krishnan, and Bahram Javidi
3W4A.3 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2022
Non-Line-of-Sight Imaging Using a Fractal Superconducting Nanowire Single-Photon Detector
Yifan Feng, Xingyu Cui, Yun Meng, Xiangjun Yin, Kai Zou, Zifan Hao, Jingyu Yang, and Xiaolong Hu
AW5P.5 CLEO: Applications and Technology (CLEO:A&T) 2022