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Proceedings Paper

Evaluation of the no-disparity realistic image from a sense of presence and low fatigue
Author(s): H. Nate; N. Natsui; N. Hayashi; K. Ishikawa; T. Hatada; Y. Ichihara; N. Miyake; Y. Ushio
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Paper Abstract

We evaluated an observer’s fatigue and a sense of presence, in observing the no-disparity realistic image (NDR image) [1-3]. NDR image is consisted of two images (right and left image). Right image is created by shifting all pixels in left image same amount. Consequently, there are no disparities in all area of NDR image. NDR image which is reconfigured the contents that contain image with large disparity might have a possibility that it suppress an observer’s fatigue and let him feel high presence. Subjects observed three condition's videos (stereoscopic, NDR and 2D). Subjects observed two videos in each condition. Each video was 30 minutes. There were scenes with large disparity (more than 5 degrees) in videos. Subjects responded SSQ (Simulator Sickness Questionnaire), VAS (Visual Analogue Scale) for fatigue and questionnaire on realism and were measured CFF (Critical Frequency Fusion), accommodation tremor, stereoscopic vision test, ocular position measurement and eye sight test. Results showed that NDR image let observer feel high presence and an observer's fatigue was low. NDR image is effective, even if contents which contain large disparity are converted into NDR image.

Paper Details

Date Published: 12 March 2013
PDF: 8 pages
Proc. SPIE 8648, Stereoscopic Displays and Applications XXIV, 86481U (12 March 2013);
Show Author Affiliations
H. Nate, Tokyo Polytechnic Univ. (Japan)
N. Natsui, Tokyo Polytechnic Univ. (Japan)
N. Hayashi, Tokyo Polytechnic Univ. (Japan)
K. Ishikawa, Tokyo Polytechnic Univ. (Japan)
T. Hatada, Tokyo Optometric College (Japan)
Y. Ichihara, Nikon Corp. (Japan)
N. Miyake, Nikon Corp. (Japan)
Y. Ushio, Nikon Corp. (Japan)

Published in SPIE Proceedings Vol. 8648:
Stereoscopic Displays and Applications XXIV
Andrew J. Woods; Nicolas S. Holliman; Gregg E. Favalora, Editor(s)

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