Visual fatigue prediction for stereoscopic image

Donghyun Kim; Kwanghoon Sohn

doi:10.1109/TCSVT.2011.2106275

Visual fatigue prediction for stereoscopic image

Donghyun Kim, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article

110 Citations (Scopus)

Abstract

In this letter, we propose a visual fatigue prediction metric which can replace subjective evaluation for stereoscopic images. It detects stereoscopic impairments caused by inappropriate shooting parameters or camera misalignment which induces excessive horizontal and vertical disparities. Pearson's correlation was measured between the proposed metrics and the subjective results by using $k$-fold cross-validation, acquiring ranges of 7887% with sparse feature and 7485% with dense feature.

Original language	English
Article number	5688305
Pages (from-to)	231-236
Number of pages	6
Journal	IEEE Transactions on Circuits and Systems for Video Technology
Volume	21
Issue number	2
DOIs	https://doi.org/10.1109/TCSVT.2011.2106275
Publication status	Published - 2011 Feb 1

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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10.1109/TCSVT.2011.2106275

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Kim, D., & Sohn, K. (2011). Visual fatigue prediction for stereoscopic image. IEEE Transactions on Circuits and Systems for Video Technology, 21(2), 231-236. [5688305]. https://doi.org/10.1109/TCSVT.2011.2106275

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