Meeting Agenda Meeting Agenda| Date: | November 27, 2008 |
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| Location: | DC 1304 |
| Time: | 1:30 |
| Chair: |  Stephen Mann |
| Date: | December 4th | December 11th | December 18th | January 7th |
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| Location: | DC 1304 1:30 | DC 1304 1:30 | DC 1304 1:30 | DC 1304 1:30 | Chair: |  Alex Pytel |
 Jamie Ruiz |
 Ryan Stedman |
 Martin Talbot |
Technical Presentation: |  Terry Park |
Alex Pytel |
Jamie Ruiz |
 Ryan Stedman |
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Zainab Meraj |
Title : Mimicking HandDrawn Lines.
Abstract: In applications such as architecture, early design sketches containing accurate line drawings often mislead the target audience [Schumann et al., 1996]. 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. Further, the algorithm does not rely on a database of human drawn lines, nor does it require any input other than the end points of the lines to generate a line of arbitrary length. The algorithm will generate any number of aesthetically pleasing and natural looking lines, where each one is unique. The algorithm was developed by conducting various user studies on human drawn pencil line sketches, and analyzing the lines to produce basic heuristics. We found that an observational analysis of human lines made a bigger impact on the algorithm than a statistical analysis. Further studies have shown that the algorithm produces lines that are perceptually indistinguishable from that of a hand-drawn straight pencil line, and higher resolution images of these lines were still perceived as real drawn lines. An expansion to the system resulted in dotted lines, and an implementation of analyzed start and termination points of the lines. |
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