Predicting Stereoscopic Viewing Comfort Using a Coherence-Based Computational Model
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We introduce a novel computational model for objectively assessing the visual comfort of stereoscopic 3D imagery. Our model integrates research in visual perception with tools from stereo computer vision to quantify the degree of stereo coherence between both stereo half-images. We show that the coherence scores computed by our model strongly correlate with human comfort ratings using a perceptual study of 20 participants rating 80 images each. Based on our experiments, we further propose a taxonomy of stereo coherence issues which affect viewing comfort, and propose a set of computational tools that extend our model to identify and localise stereo coherence issues from stereoscopic 3D images.
Description
@inproceedings{10.2312:COMPAESTH/COMPAESTH11/097-104,
booktitle = {Computational Aesthetics in Graphics, Visualization, and Imaging},
editor = {Douglas Cunningham and Tobias Isenberg},
title = {{Predicting Stereoscopic Viewing Comfort Using a Coherence-Based Computational Model}},
author = {Richardt, Christian and Swirski, Lech and Davies, Ian P. and Dodgson, Neil A.},
year = {2011},
publisher = {The Eurographics Association},
ISSN = {1816-0859},
ISBN = {978-1-4503-0908-0},
DOI = {10.2312/COMPAESTH/COMPAESTH11/097-104}
}