Visual fatigue prediction for stereoscopic image

Donghyun Kim, Kwanghoon Sohn

Research output: Contribution to journalArticle

106 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 languageEnglish
Article number5688305
Pages (from-to)231-236
Number of pages6
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume21
Issue number2
DOIs
Publication statusPublished - 2011 Feb 1

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Cameras
Fatigue of materials

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Cite this

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Visual fatigue prediction for stereoscopic image. / Kim, Donghyun; Sohn, Kwanghoon.

In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 2, 5688305, 01.02.2011, p. 231-236.

Research output: Contribution to journalArticle

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