Viewpoint selection for shape comparison of mode water regions in a VR space

Midori Yano, Takayuki Itoh, Yuusuke Tanaka, Daisuke Matsuoka, Fumiaki Araki, Tobias Czauderna, Kingsley Stephens

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


Virtual Reality (VR) provides immersive environments where users watch objects and scenes as if they were in front of users. This is a significant advantage while applying to 3D visualization systems. However, it is often difficult for novice users to make the best use of VR to reproduce the objects and scenes precisely and the comprehensively depending on the skills of users and the complexity of objects and scenes. One of the problems is that the allowed operations in VR are too flexible. Here, we propose a viewpoint selection method that allows every user to watch the objects and scenes easily and carefully in a VR space. The viewpoint is not fixed but can be shifted to the most favorable position according to the demand of users. Regarding the selected viewpoint as the initial position, users can easily go towards the target part with fewer movements. This system helps users to understand the complex objects in the VR space precisely with less time. We demonstrate our system on the observation of mode water pairs and discuss the comparative visualization results.

Original languageEnglish
Title of host publicationInformation Visualization - Biomedical Visualization and Geometric Modelling and Imaging
EditorsEbad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, Nuno Datia, Joao Moura Pires, Rita Francese, Muhammad Sarfraz, Theodor G Wyeld, Fatma Bouali, Gilles Venturin, Hanane Azzag, Mustapha Lebbah, Marjan Trutschl, Urska Cvek, Heimo Muller, Minoru Nakayama, Sebastian Kernbach, Loredana Caruccio, Michele Risi, Ugo Erra, Autilia Vitiello, Veronica Rossano
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781728128382
ISBN (Print)9781728128399
Publication statusPublished - 2019
EventInternational Conference on Information Visualisation 2019 - Paris, France
Duration: 2 Jul 20195 Jul 2019
Conference number: 23rd


ConferenceInternational Conference on Information Visualisation 2019
Abbreviated titleIV 2019
Internet address


  • ocean data
  • scientific visualization
  • shape comparison
  • viewpoint selection
  • virtual reality

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