DocumentCode
3696722
Title
Half-Occluded Regions and Detection of Pseudoscopy
Author
Jonathan Bouchard;Yasin Nazzar;James J. Clark
Author_Institution
Centre for Intell. Machines, McGill Univ. Montreal, Montreal, QC, Canada
fYear
2015
Firstpage
215
Lastpage
223
Abstract
We propose that left- and right-half-occlusion regions contain information that can distinguish between stereoscopic and pseudoscopic display conditions. A machine vision method is presented based on this idea, which detects pseudo copy using only the histograms of left and right half-occlusion pixel locations. Two psychophysical experiments are described which study the ability of human viewers to detect, or be influenced by, pseudoscopic display. The results of this study show that, during free viewing of HD 3D video imagery, humans judged pseudoscopic imagery to be of lower quality than stereoscopic imagery. Subjects performed at a 72% rate in deciding whether a short 5-second video clip was presented stereoscopically or pseudoscopically. Subjects were observed to fixate on half-occlusion regions with a frequency of 15.8%, as opposed to a frequency of 7.8% indicated by random chance. Viewers more frequently (17.4%) fixated on half-occlusion regions when making correct decisions then when they were incorrect (11.9%).
Keywords
"Stereo image processing","Three-dimensional displays","Motion pictures","Estimation","Real-time systems","Cameras","Computer vision"
Publisher
ieee
Conference_Titel
3D Vision (3DV), 2015 International Conference on
Type
conf
DOI
10.1109/3DV.2015.32
Filename
7335487
Link To Document