Automatically mimicking unique hand-drawn pencil lines

Zainab AlMeraj*, Brian Wyvill, Tobias Isenberg, Amy A. Gooch, Richard Guy

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

31 Citaten (Scopus)
402 Downloads (Pure)

Samenvatting

In applications such as architecture, early design sketches containing accurate line drawings often mislead the target audience. 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 human-drawn lines. Our algorithm works directly with input point data and a physically based mathematical model of human arm movement. Our algorithm generates unique lines of arbitrary length given the end points of a line, without relying on a database of human-drawn lines. We found that an observational analysis obtained through various user studies of human lines made a bigger impact on the algorithm than a statistical analysis. Additional studies have shown that the algorithm produces lines that are perceptually indistinguishable from that of a hand-drawn straight pencil line. A further expansion to the system resulted in mimicked dashed lines. (C) 2009 Elsevier Ltd. All rights reserved.

Originele taal-2English
Pagina's (van-tot)496-508
Aantal pagina's13
TijdschriftComputers & Graphics
Volume33
Nummer van het tijdschrift4
DOI's
StatusPublished - aug-2009
Evenement5th Eurographics Workshop on Sketch-Based Interfaces and Modeling - , France
Duur: 1-jun-2008 → …

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