﻿This directory contains supplementary material for the paper

    Predicting Stereoscopic Viewing Comfort Using a Coherence-Based Computational Model
    Christian Richardt, Lech Świrski, Ian P. Davies and Neil A. Dodgson
    Proceedings of Computational Aesthetics 2011
    <http://www.cl.cam.ac.uk/research/rainbow/projects/stereocomfort/>

If you use our data, please cite our paper. Thanks.


Contents
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  images/
    This directory includes the 80 images shown to study participants, in original resolution and
    uncompressed. The directory also includes Python scripts for randomizing the order of images
    (_randomizeNames.py), as well as restoring the original filenames (_cleanNames.py).

  Statistics (0.6 arcmin).xlsx
    Excel spreadsheet containing the user ratings, our model's coherence scores as well as the
    statistical analysis of the correlation between users' comfort ratings and our model's.
    Requires Excel 2007 or higher to open.

  Statistics (2.2 arcmin).xlsx
    Additional results assuming a pixel of 2.2 arc minutes. These results are not competetive
    and are provided just for completeness.

  user-ratings.csv
    Contains all comfort ratings as comma-separated values (CSV).