361 research outputs found
A Natural Image Pointillism with Controlled Ellipse Dots
This paper presents an image-based artistic rendering algorithm for the automatic Pointillism style. At first, ellipse dot locations are randomly generated based on a source image; then dot orientations are precalculated with help of a direction map; a saliency map of the source image decides long and short radius of the ellipse dot. At last, the rendering runs layer-by-layer from large size dots to small size dots so as to reserve the detailed parts of the image. Although only ellipse dot shape is adopted, the final Pointillism style performs well because of variable characteristics of the dot
Patternshop: Editing Point Patterns by Image Manipulation
Point patterns are characterized by their density and correlation. While
spatial variation of density is well-understood, analysis and synthesis of
spatially-varying correlation is an open challenge. No tools are available to
intuitively edit such point patterns, primarily due to the lack of a compact
representation for spatially varying correlation. We propose a low-dimensional
perceptual embedding for point correlations. This embedding can map point
patterns to common three-channel raster images, enabling manipulation with
off-the-shelf image editing software. To synthesize back point patterns, we
propose a novel edge-aware objective that carefully handles sharp variations in
density and correlation. The resulting framework allows intuitive and
backward-compatible manipulation of point patterns, such as recoloring,
relighting to even texture synthesis that have not been available to 2D point
pattern design before. Effectiveness of our approach is tested in several user
experiments.Comment: 14 pages, 16 figure
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