Ultra-Sparse 360-Degree Camera View Synthesis for Immersive Virtual Tourism

Qian Zhou, Klara Nahrstedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

360-degree video based virtual tours are becoming more and more popular due to travel costs and restrictions. Existing solutions leverage teleport, 3D modeling or image morphing, but none of them offers satisfactory immersion and scalability. In this paper, we propose a morphing based ultra-sparse 360-degree camera virtual tourism solution. It uses a novel bus tour mode to improve immersion; besides, it uses a series of strategies to improve feature matching such that morphing works well for ultra-sparse (15 m apart) cameras and the system can be deployed on a large scale. The experimental results show that our work results in remarkably better feature matching and synthesized views.

Original languageEnglish (US)
Title of host publicationProceedings - 5th International Conference on Multimedia Information Processing and Retrieval, MIPR 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-286
Number of pages6
ISBN (Electronic)9781665495486
DOIs
StatePublished - 2022
Externally publishedYes
Event5th International Conference on Multimedia Information Processing and Retrieval, MIPR 2022 - Virtual, Online, United States
Duration: Aug 2 2022Aug 4 2022

Publication series

NameProceedings - 5th International Conference on Multimedia Information Processing and Retrieval, MIPR 2022

Conference

Conference5th International Conference on Multimedia Information Processing and Retrieval, MIPR 2022
Country/TerritoryUnited States
CityVirtual, Online
Period8/2/228/4/22

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Media Technology

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