Journal of Biomedical and Sustainable Healthcare Applications

Range Imaging and Video Generation using Generative Adversarial Network

Journal of Biomedical and Sustainable Healthcare Applications

Received On : 21 August 2020

Revised On : 23 September 2020

Accepted On : 24 October 2020

Published On : 05 January 2021

Volume 01, Issue 01

Pages : 034-041


Latency, high temporal pixel density, and dynamic range are just a few of the benefits of event camera systems over conventional camera systems. Methods and algorithms cannot be applied directly because the output data of event camera systems are segments of synchronization events and experiences rather than precise pixel intensities. As a result, generating intensity photographs from occurrences for other functions is difficult. We use occurrence camera-based contingent deep convolutional connections to establish images and videos from a variable component of the occasion stream of data in this journal article. The system is designed to replicate visuals based on spatio-temporal intensity variations using bundles of spatial coordinates of occurrences as input data. The ability of event camera systems to produce High Dynamic Range (HDR) pictures even in exceptional lighting circumstances, as well as non-blurry pictures in rapid motion, is demonstrated. Furthermore, because event cameras have a transient response of about 1 s, the ability to generate very increased frame rate video content has been evidenced, conceivably up to 1 million arrays per second. The implementation of the proposed algorithms are compared to density images recorded onto a similar gridline in the image of events based on the application of accessible primary data obtained and synthesized datasets generated by the occurrence camera simulation model.


Generative Adversarial (GA), High-Dynamic Range (HDR), Stacking-Based Time (SBT), Stacking Based Events (SBE)

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The authors would like to thank to the reviewers for nice comments on the manuscript.


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Cite this article

Anderson Stephanie, “Range Imaging and Video Generation using Generative Adversarial Network", vol.1, no.1, pp. 034-041, January 2021. doi: 10.53759/0088/JBSHA202101005.


© 2021 Anderson Stephanie. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.