Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Non-Photorealistic Rendering
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer matching of areas in stereo images.
Computer matching of areas in stereo images.
Computer Vision: Algorithms and Applications
Computer Vision: Algorithms and Applications
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Computer generated stereoscopic artwork
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Developing a system of screen-less animation for experiments in perception of movement
CAe '12 Proceedings of the Eighth Annual Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
Consistent stylization and painterly rendering of stereoscopic 3D images
NPAR '12 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering
Consistent stylization of stereoscopic 3D images
ACM SIGGRAPH 2012 Posters
Special Section on Expressive Graphics: Stereoscopic 3D image stylization
Computers and Graphics
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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.