Alexandra Bonnici

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Vectorization algorithms described in the literature assume that the drawings being vectorized are either binary images or have a clear white background. Sketches of artistic objects however also contain shadows which help the artist to portray intent, particularly in potentially ambiguous sketches. Such sketches are difficult to binarise since the shading(More)
Artistic cues help designers to communicate design intent in sketches. In this paper, we show how these artistic cues may be used to obtain a line labelling interpretation of freehand sketches, using a cue-based genetic algorithm to obtain a labelling solution that matches design intent. In the paper, we show how this can be achieved from off-line or paper(More)
The interpretation of user sketches generates research interest in the product design community since the computer interpretation of sketches may reduce the design-to-market time while giving the designer greater flexibility and control of the design process. This paper describes how cues, namely shadows and table lines used to express structural form in(More)
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