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This paper presents a novel method that interactively recognizes and vectorizes hand-drawn strokes in front of a commodity webcam. Compared to existing methods, which recognize strokes on a completed drawing, our method captures both spatial and temporal information of the strokes, and faithfully vectorizes them with timestamps. By this, we can avoid various stroke recognition ambiguities, enhance the vectorization quality, and recover the stroke drawing order.
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Jayaraman et al. (2014) studied this question.
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