Open AccessDepth perception estimation of various stereoscopic displays
Author(s) -
Seungyong Baek,
Chulhee Lee
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.023618
Subject(s) - stereoscopy , depth perception , computer vision , artificial intelligence , perception , computer science , stereo display , stereopsis , depth map , optics , computer graphics (images) , image (mathematics) , physics , neuroscience , biology
In this paper, we investigate the relationship between depth perception and several disparity parameters in stereoscopic images. A number of subjective experiments were conducted using various 3D displays, which indicate that depth perception of stereoscopic images is proportional to depth difference and is inversely related to the camera distance. Based on this observation, we developed some formulas to quantify the degree of depth perception of stereoscopic images. The proposed method uses depth differences and the camera distance between the objects and the 3D camera. This method also produces improved depth perception estimation by using non-linear functions whose inputs include a depth difference and a camera distance. The results show that the proposed method provides noticeable improvements in terms of correlation and produces more accurate depth perception estimations of stereoscopic images.