DVF: Toward Semiautomatic Composition of Perceptual Images of a Virtual Scene Through Hand Gesture Interface

Jun Hoshikawa, Issei Fujishiro

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

Abstract

Human beings perceive scenes by enlarging an area of interest (AOI), whereas an ordinal camera captures the entire scene evenly. Therefore, it is not easy to share subjective impressions with others effectively only by sharing normal photos. Such challenges exist in cyberworlds as well. In this study, we design Digitus View Finder (DVF), a system that automatically outputs images close to the scenes a user perceives. A preliminary user study indicated that the DVF would be able to estimate a plausible scale factor of the AOI as a function of three parameters: the number of subjects in the AOI, the distance to the subjects, and a personal difference as a correction term.

Original languageEnglish
Title of host publicationProceedings - 2022 International Conference on Cyberworlds, CW 2022
EditorsYuriko Takeshima, Alexei Sourin, Haoran Xie, Christophe Rosenberger, Olga Sourina, Kazunori Miyata
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-170
Number of pages2
ISBN (Electronic)9781665468145
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Cyberworlds, CW 2022 - Kanazawa, Japan
Duration: 2022 Sep 272022 Sep 29

Publication series

NameProceedings - 2022 International Conference on Cyberworlds, CW 2022

Conference

Conference2022 International Conference on Cyberworlds, CW 2022
Country/TerritoryJapan
CityKanazawa
Period22/9/2722/9/29

Keywords

  • hand gesture interface
  • human-centered computing
  • virtual reality

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Media Technology
  • Modelling and Simulation

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