Visibility sorting and compositing without splitting for image layer decompositions
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Compositing 3-D rendered images
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Druid: representation of interwoven surfaces in 21/2d drawing
Druid: representation of interwoven surfaces in 21/2d drawing
Dynamic planar map illustration
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2009 papers
ACM SIGGRAPH 2010 papers
Apparent layer operations for the manipulation of deformable objects
ACM SIGGRAPH 2010 papers
Technical Section: Hybrid visibility compositing and masking for illustrative rendering
Computers and Graphics
OverCoat: an implicit canvas for 3D painting
ACM SIGGRAPH 2011 papers
Mixed-order compositing for 3D paintings
Proceedings of the 2011 SIGGRAPH Asia Conference
Hi-index | 0.00 |
In this paper, we present a continuous approach to ordering 2D images when compositing. Previous methods for stacking image layers require them to appear in a single (though possibly different) order at every point in the image. Our soft stacking approach removes this restriction — allowing layers to stack as if they were volumes of fog, appearing partially in front of and partially in back of other layers within the same pixel, and moving smoothly through other layers across the image. Our approach involves augmenting each pixel with stacking coefficients— a necessary and sufficient representation for sub-pixel stacking complexity. These stacking coefficients arise naturally when considering sub-pixel stacking complexity, much as continuous (alpha) transparency arises when considering sub-pixel coverage complexity. While the number of stacking coefficients required to represent all possible sub-pixel stacking arrangements is factorial in the number of layers in the stack, in many practical situations only a small subset of the stacking coefficients are nonzero. We use this sparsity as the basis of a prototype that allows artists to interactively paint stacking adjustments into composites. Additionally, we demonstrate how to generate optimally-stacked images under a generalized notion of stacking consistency. © 2012 Wiley Periodicals, Inc.