Visual fatigue prediction for stereoscopic image

Donghyun Kim, Kwanghoon Sohn

Research output: Contribution to journalArticle

111 Citations (Scopus)


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
Issue number2
Publication statusPublished - 2011 Feb

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Visual fatigue prediction for stereoscopic image'. Together they form a unique fingerprint.

  • Cite this