Compressive Non-line-of-sight Imaging using a Convolutional Neural Network

Shenyu Zhu, Yong Meng Sua, Ting Bu, Yu Ping Huang

Research output: Contribution to journalConference articlepeer-review

Abstract

We demonstrate compressive non-line-of-sight imaging with downsampling ratio of 6.25% by using a convolutional neural network (CNN). Photon arrival-time histogram with 10 picosecond resolution enables high-quality image reconstruction with CNN trained purely by using simulated dataset.

Original languageEnglish
Article numberJW4A.69
JournalOptics InfoBase Conference Papers
StatePublished - 2022
EventFrontiers in Optics, FiO 2022 - Rochester, United States
Duration: 17 Oct 202220 Oct 2022

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