Computer-generated floral ornament
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Hatching by example: a statistical approach
NPAR '02 Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Non-photorealistic rendering in context: an observational study
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Appearance-guided synthesis of element arrangements by example
Proceedings of the 7th International Symposium on Non-Photorealistic Animation and Rendering
Quality assessment of fractalized NPR textures: a perceptual objective metric
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization
Non-Photorealistic Rendering and the science of art
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
Towards effective evaluation of geometric texture synthesis algorithms
Proceedings of the Symposium on Non-Photorealistic Animation and Rendering
Patch-based geometric texture synthesis
Proceedings of the Symposium on Computational Aesthetics
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Two-dimensional geometric texture synthesis is the geometric analogue of raster-based texture synthesis. An absence of conventional evaluation procedures in recent synthesis attempts demands an inquiry into the visual significance of synthesized results. In this paper, we report on two psychophysical experiments that explore how people understand notions of similarity in geometric textures. We present perceptual metrics and human texture generation features that are crucial for future researchers when developing and assessing the success of their algorithms.