Jump flooding in GPU with applications to Voronoi diagram and distance transform
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Polygon labelling of minimum leader length
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Boundary labeling: Models and efficient algorithms for rectangular maps
Computational Geometry: Theory and Applications
Efficient histogram generation using scattering on GPUs
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Specifying label layout style by example
Proceedings of the 20th annual ACM symposium on User interface software and technology
Dynamic label placement for improved interactive exploration
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Algorithms for multi-criteria one-sided boundary labeling
GD'07 Proceedings of the 15th international conference on Graph drawing
Metrics for functional and aesthetic label layouts
SG'05 Proceedings of the 5th international conference on Smart Graphics
Form follows function: aesthetic interactive labels
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Seamless integration of labels into interactive virtual 3D environments using parameterized hulls
Computational Aesthetics'08 Proceedings of the Fourth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
A zone-based approach for placing annotation labels on metro maps
SG'11 Proceedings of the 11th international conference on Smart graphics
On the design of a Dual-Mode User Interface for accessing 3D content on the World Wide Web
International Journal of Human-Computer Studies
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We propose a novel method for computing labeling of 3D illustrations in real-time. We solve a multiple criteria optimization problem in which we consider the desired layout already in the stage of searching for salient points of the labeled areas. In the solution we employ fuzzy logic combined with greedy optimization. The method runs on the GPU and achieves interactive rates on medium sized models. The results indicate that the method compares favorably to the state-of-the-art interactive labeling techniques.