Painterly rendering for animation
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Processing images and video for an impressionist effect
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Painterly rendering with curved brush strokes of multiple sizes
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Image and video based painterly animation
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
Fast median and bilateral filtering
ACM SIGGRAPH 2006 Papers
OverCoat: an implicit canvas for 3D painting
ACM SIGGRAPH 2011 papers
Predicting stereoscopic viewing comfort using a coherence-based computational model
Proceedings of the International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
Fast cost-volume filtering for visual correspondence and beyond
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Binocular depth perception of stereoscopic 3D line drawings
Proceedings of the ACM Symposium on Applied Perception
Special Section on Expressive Graphics: Stereoscopic 3D image stylization
Computers and Graphics
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We present a method for stylizing stereoscopic 3D images that guarantees consistency between the left and right views. Our method decomposes the left and right views of an input image into discretized disparity layers and merges the corresponding layers from the left and right views into a single layer where stylization takes place. We then construct new stylized left and right views by compositing portions of the stylized layers. Because the left and right views come from the same source layers, our method eliminates common artifacts that cause viewer discomfort. We also present a stereoscopic 3D painterly rendering algorithm tailored to our layer-based approach. This method uses disparity information to assist in stroke creation so that strokes follow surface geometry without ignoring painted surface patterns. Finally, we conduct a user study that demonstrates that our approach to stereoscopic 3D image stylization leads to images that are more comfortable to view than those created using other techniques.