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.
|Number of pages||6|
|Journal||IEEE Transactions on Circuits and Systems for Video Technology|
|Publication status||Published - 2011 Feb|
All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering