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Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education
BACKGROUND: Real-time 3D rendering and interaction is important for virtual reality (VR) experimental education. Unfortunately, standard end-computing methods prohibitively escalate computational costs. Thus, reducing or distributing these requirements needs urgent attention, especially in light of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470727/ http://dx.doi.org/10.1016/j.vrih.2020.07.001 |
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author | Zhang, Hongxin Zhang, Jin Yin, Xue Zhou, Kan Pan, Zhigeng |
author_facet | Zhang, Hongxin Zhang, Jin Yin, Xue Zhou, Kan Pan, Zhigeng |
author_sort | Zhang, Hongxin |
collection | PubMed |
description | BACKGROUND: Real-time 3D rendering and interaction is important for virtual reality (VR) experimental education. Unfortunately, standard end-computing methods prohibitively escalate computational costs. Thus, reducing or distributing these requirements needs urgent attention, especially in light of the COVID-19 pandemic METHODS: In this study, we design a cloud-to-end rendering and storage system for VR experimental education comprising two models: background and interactive. The cloud server renders items in the background and sends the results to an end terminal in a video stream. Interactive models are then lightweight-rendered and blended at the end terminal. An improved 3D warping and hole-filling algorithm is also proposed to improve image quality when the user’s viewpoint changes. RESULTS: We build three scenes to test image quality and network latency. The results show that our system can render 3D experimental education scenes with higher image quality and lower latency than any other cloud rendering systems. CONCLUSIONS: Our study is the first to use cloud and lightweight rendering for VR experimental education. The results demonstrate that our system provides good rendering experience without exceeding computation costs. |
format | Online Article Text |
id | pubmed-7470727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74707272020-09-04 Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education Zhang, Hongxin Zhang, Jin Yin, Xue Zhou, Kan Pan, Zhigeng Virtual Reality & Intelligent Hardware Article BACKGROUND: Real-time 3D rendering and interaction is important for virtual reality (VR) experimental education. Unfortunately, standard end-computing methods prohibitively escalate computational costs. Thus, reducing or distributing these requirements needs urgent attention, especially in light of the COVID-19 pandemic METHODS: In this study, we design a cloud-to-end rendering and storage system for VR experimental education comprising two models: background and interactive. The cloud server renders items in the background and sends the results to an end terminal in a video stream. Interactive models are then lightweight-rendered and blended at the end terminal. An improved 3D warping and hole-filling algorithm is also proposed to improve image quality when the user’s viewpoint changes. RESULTS: We build three scenes to test image quality and network latency. The results show that our system can render 3D experimental education scenes with higher image quality and lower latency than any other cloud rendering systems. CONCLUSIONS: Our study is the first to use cloud and lightweight rendering for VR experimental education. The results demonstrate that our system provides good rendering experience without exceeding computation costs. 2020-08 2020-09-03 /pmc/articles/PMC7470727/ http://dx.doi.org/10.1016/j.vrih.2020.07.001 Text en . Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Hongxin Zhang, Jin Yin, Xue Zhou, Kan Pan, Zhigeng Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education |
title | Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education |
title_full | Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education |
title_fullStr | Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education |
title_full_unstemmed | Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education |
title_short | Cloud-to-end Rendering and Storage Management for Virtual Reality in Experimental Education |
title_sort | cloud-to-end rendering and storage management for virtual reality in experimental education |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470727/ http://dx.doi.org/10.1016/j.vrih.2020.07.001 |
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