Effects of depth cues on the recognition of the spatial position of a 3D object in transparent stereoscopic visualization

Yurina Kitaura, Kyoko Hasegawa, Yuichi Sakano, Roberto Lopez-Gulliver, Liang Li, Hiroshi Ando, Satoshi Tanaka

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

5 Citations (Scopus)

Abstract

Medical applications, as well as many other scientific fields, frequently utilize transparent viewing to investigate the inner 3D structures of complex objects. On the other hand, it is known that stereoscopic vision is effective in allowing us to intuitively understand 3D shapes and to realize natural depth feel of visualized scenes. It is expected that the combination of these two visualization techniques, that is, transparent viewing and the stereoscopic vision, namely transparent stereoscopic visualization, should be effective for our easier and intuitive understanding of inner structures of 3D objects. However, the cognitive effects that arise when combining these two techniques have not been fully understood for us until now. In this paper, we investigate the cognitive effects that arise when combining these two techniques of computer visualization. We specially focus on medical volume visualization to investigate influences of the luminance gradient, which is inherent in the stochastic point-based rendering (SPBR) that we proposed recently. We conducted psychophysical experiments in which observers analysed the perceived 3D structure based on transparent stereoscopic visualization. The experiments are executed under the conditions of monocular, binocular viewing and motion parallax. We found that the luminance gradient is effective in the perceived depth magnitude in the transparent stereoscopic viewing of medical volume data.

Original languageEnglish
Title of host publicationInnovation in Medicine and Healthcare 2017 - Proceedings of the 5th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2017
EditorsRobert J. Howlett, Lakhmi C. Jain, Yen-Wei Chen, Satoshi Tanaka
PublisherSpringer Science and Business Media Deutschland GmbH
Pages277-282
Number of pages6
ISBN (Print)9783319593968
DOIs
Publication statusPublished - 2018
Event5th KES International Conference on Innovation in Medicine and Healthcare, InMed-17 2017 - Algarve, Portugal
Duration: 2017 Jun 212017 Jun 23

Publication series

NameSmart Innovation, Systems and Technologies
Volume71
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference5th KES International Conference on Innovation in Medicine and Healthcare, InMed-17 2017
Country/TerritoryPortugal
CityAlgarve
Period17/6/2117/6/23

Keywords

  • Automultiscopic 3D image
  • Depth perception
  • Transparent visualization

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