Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th 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
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Concrete Mathematics: A Foundation for Computer Science
Concrete Mathematics: A Foundation for Computer Science
Stylization and abstraction of photographs
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Human facial illustrations: Creation and psychophysical evaluation
ACM Transactions on Graphics (TOG)
Stroke Surfaces: Temporally Coherent Artistic Animations from Video
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2006 Papers
Object-based vectorization for interactive image editing
The Visual Computer: International Journal of Computer Graphics
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Image vectorization using optimized gradient meshes
ACM SIGGRAPH 2007 papers
Diffusion curves: a vector representation for smooth-shaded images
ACM SIGGRAPH 2008 papers
Richness-preserving manga screening
ACM SIGGRAPH Asia 2008 papers
Patch-based image vectorization with automatic curvilinear feature alignment
ACM SIGGRAPH Asia 2009 papers
Edge-based compression of cartoon-like images with homogeneous diffusion
Pattern Recognition
Ardeco: automatic region detection and conversion
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Texture-preserving abstraction
NPAR '12 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering
Abstract painting with interactive control of perceptual entropy
ACM Transactions on Applied Perception (TAP)
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We present an unsupervised system which takes digital photographs as input, and generates simplified, stylized vector data as output. The three component parts of our system are image-space stylization, edge tracing, and edge-based image reconstruction. The design of each of these components is specialized, relative to their state of the art equivalents, in order to improve their effectiveness when used in such a combined stylization/vectorization pipeline. We demonstrate that the vector data generated by our system is often both an effective visual simplification of the input photographs, and an effective simplification in the sense of memory efficiency, as judged relative to state of the art lossy image compression formats.