Abstract
In this study, we demonstrate high-speed three-dimensional (3D) image pickup and reconstruction using an event camera and integral imaging. Since event cameras have a very high temporal resolution, unlike standard cameras, high-speed recording of images is possible. These characteristics of the event camera can be applied to integral imaging, a 3D imaging pickup system. Since the event camera only generates event data occurring due to changes in brightness values, deep learning models are used to reproduce them as high-speed images. Experiments on high-speed 3D image pickup and reconstruction were performed, and the effectiveness of the system was confirmed.
Original language | English |
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Pages (from-to) | 160-165 |
Number of pages | 6 |
Journal | Journal of the Korean Physical Society |
Volume | 82 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2023 Jan |
Bibliographical note
Funding Information:This research was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (421025041SB010), Ministry of Culture, Sports and Tourism (MCST), Korea Creative Content Agency (R2020040080), Korean National Police Agency (PR08-04-000-21).
Publisher Copyright:
© 2023, The Korean Physical Society.
All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)