Automatically mimicking unique hand-drawn pencil lines

Autor: Tobias Isenberg, Amy A. Gooch, Zainab AlMeraj, Brian Wyvill, Richard K. Guy
Přispěvatelé: Scientific Visualization and Computer Graphics
Rok vydání: 2009
Předmět:
Zdroj: Computers & Graphics, 33(4), 496-508. PERGAMON-ELSEVIER SCIENCE LTD
ISSN: 0097-8493
Popis: 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.
Databáze: OpenAIRE