Visual fatigue modeling and analysis for stereoscopic video

Choi, Jaeseob; Kim, Donghyun; Choi, Sunghwan; Sohn, Kwanghoon

doi:doi:10.1117/1.OE.51.1.017206

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Optical Engineering / Volume 51 / Issue 1 / Machine Vision, Pattern Recognition

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Visual fatigue modeling and analysis for stereoscopic video

Opt. Eng. 51, 017206 (Feb 06, 2012); http://dx.doi.org/10.1117/1.OE.51.1.017206

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Abstract

References (24)

Citing Articles (6)

Jaeseob Choi, Donghyun Kim, Sunghwan Choi, and Kwanghoon Sohn

Yonsei University, Department of Electrical and Electronic Engineering, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea

In this paper, we propose a visual fatigue prediction method for stereoscopic video. We select visual fatigue factor candidates and determine the equations for each. The candidates are then classified into their principal components, and the validity of each is confirmed using principal component analysis. Visual fatigue is predicted using multiple regression with subjective visual fatigue. In order to determine the best model, we select the visual fatigue factors that have sufficient significance in terms of subjective fatigue according to the stepwise method. The predicted visual fatigue score is presented as a linear combination of the selected visual fatigue factors. Consequently, the proposed algorithm provides more reliable performance in terms of correlation with the subjective test results compared with a conventional algorithm.

History

Received Aug 16, 2011
Accepted Nov 17, 2011
Revised Nov 14, 2011
Published online Feb 06, 2012

Digital Object Identifier

http://dx.doi.org/10.1117/1.OE.51.1.017206

Citation

Jaeseob Choi, Donghyun Kim, Sunghwan Choi and Kwanghoon Sohn, "Visual fatigue modeling and analysis for stereoscopic video", Opt. Eng. 51, 017206 (Feb 06, 2012); http://dx.doi.org/10.1117/1.OE.51.1.017206