Zainab AlMeraj

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In applications such as architecture, early design sketches containing accurate line drawings often mislead the target audience [Schumann et al., 1996]. Approximate human-drawn sketches are typically accepted as a better way of demonstrating fundamental design concepts. To this end we have designed an algorithm that creates lines that perceptually resemble(More)
Inspired by the results of recent studies on the perception of geometric textures, we present a patch-based geometric synthesis algorithm that mimics observed synthesis strategies. Our synthesis process first constructs an overlapping grid of copies of the exemplar, and then culls individual motifs based on overlaps and the enforcement of minimum distances.
A comparison between hand-drawn lines and synthesized lines (below) shows that the approach is successful in mimicking hand-drawn pencil lines. We also conduct a use study to confirm our results. A paired sample t-test showed that our computer-generated lines were significantly more often thought to be hand-drawn than the other way around (paired t(11) =(More)
In recent years, an increasing number of example-based Geometric Texture Synthesis (GTS) algorithms have been proposed. However, there have been few attempts to evaluate these algorithms rigorously. We are driven by this lack of validation and the simplicity of the GTS problem to look closer at perceptual similarity between geometric arrangements. Using(More)
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(More)
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