Automatically mimicking unique hand-drawn pencil lines

作者：AlMeraj Zainab^*; Wyvill Brian; Isenberg Tobias; Gooch Amy A; Guy Richard

来源：Computers & Graphics-UK, 2009, 33(4): 496-508.

DOI：10.1016/j.cag.2009.04.004

• Non-photorealistic rendering (NPR)
• Natural media simulation
• Pencil rendering
• Dynamic optimization yielding voluntary arm movement trajectory
• Image processing

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.

• 出版日期2009-8