Evaluation of Emotional Response to Non-Photorealistic Images

Non-photorealistic rendering (NPR) algorithms are used to produce stylized images, and have been evaluated on the aesthetic qualities of the resulting images. NPR-produced images have been used for aesthetic and practical reasons in media intended to produce an emotional reaction in a consumer (e.g., computer games, films, advertisements, and websites); however, it is not understood how the use of these algorithms affects the emotion portrayed in an image.

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Artistic Tessellations by Growing Curves

In this paper we propose to tessellate a region by growing curves. We use a particle system, which flexibly provides good control over the final effects by variations of the initial placement, the placement order, curve direction, and curve properties. We also propose an automatic image-based mosaic method which has good texture indication, using a smoothed vector field to guide particle movement. The final irregular tessellation simulates stained glass and the elongated curved tiles faithfully express the large-scale flow in highly textured areas.



Structure-Preserving Stippling by Priority-based Error Diffusion

(Award: Best Student Paper (Graphics)) yes

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Content-Sensitive Screening in Black and White

Traditional methods produced unsatisfactory uniform screening. Often additional tones are added to improve the quality of tone and structure. In this paper, we try to produce screening with diverse patterns and with natural structure preservation while still using only one color of ink. We propose several extensions to contrast-aware halftoning including new weight distributions and variations on the priority-based scheme. Patterns can be generated by excluding pixels in a purposeful way and by organizing different groups of input edges based on user interest.

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