Visual fatigue modeling and analysis for stereoscopic video

Jaeseob Choi; Donghyun Kim; Sunghwan Choi; Kwanghoon Sohn

doi:10.1117/1.OE.51.1.017206

Visual fatigue modeling and analysis for stereoscopic video

Jaeseob Choi, Donghyun Kim, Sunghwan Choi, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

48 Citations (Scopus)

Abstract

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.

Original language	English
Article number	017206
Journal	Optical Engineering
Volume	51
Issue number	1
DOIs	https://doi.org/10.1117/1.OE.51.1.017206
Publication status	Published - 2012 Jan

Bibliographical note

Funding Information:
This research was supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the National IT Industry Promotion Agency (NIPA-2011-C1090-1101-0006).

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Engineering(all)

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10.1117/1.OE.51.1.017206

Cite this

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AU - Sohn, Kwanghoon

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Visual fatigue modeling and analysis for stereoscopic video

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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