The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
Painterly rendering for animation
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Rendering effective route maps: improving usability through generalization
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
An invitation to discuss computer depiction
NPAR '02 Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Recovering Intrinsic Images from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
A planar-reflective symmetry transform for 3D shapes
ACM SIGGRAPH 2006 Papers
Partial and approximate symmetry detection for 3D geometry
ACM SIGGRAPH 2006 Papers
Interactive cutaway illustrations of complex 3D models
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2007 papers
Visual equivalence: towards a new standard for image fidelity
ACM SIGGRAPH 2007 papers
Illustrative rendering in Team Fortress 2
ACM SIGGRAPH 2007 courses
Discovering structural regularity in 3D geometry
ACM SIGGRAPH 2008 papers
An Introduction to Kolmogorov Complexity and Its Applications
An Introduction to Kolmogorov Complexity and Its Applications
Abstraction of 2D shapes in terms of parts
Proceedings of the 7th International Symposium on Non-Photorealistic Animation and Rendering
Editorial: Special section on Non-Photorealistic Animation and Rendering (NPAR) 2010
Computers and Graphics
Animated construction of line drawings
Proceedings of the 2011 SIGGRAPH Asia Conference
crdbrd: Shape Fabrication by Sliding Planar Slices
Computer Graphics Forum
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Human perceptual processes organize visual input to make the structure of the world explicit. Successful techniques for automatic depiction, meanwhile, create images whose structure clearly matches the visual information to be conveyed. We discuss how analyzing these structures and realizing them in formal representations can allow computer graphics to engage with perceptual science, to mutual benefit. We call these representations visual explanations: their job is to account for patterns in two dimensions as evidence of a visual world.