Name
Abstract | ||
|---|---|---|
We present a new technique for approximating handwritten traces sampled from a digital graphics tablet, via a digital pen, during a computer presentation. Our goal is not only to maintain the personal style and flair of the encoded handwriting, but also to provide an efficient and practical approximation of the handwritten traces that does not deteriorate when resized at arbitrary scales. We adopt known polyline simplification algorithms and utilize second-order rational Bézier curves in our "active" methodologies. The proposed active smoothing algorithm solves its task while data is still being received. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-19391-0_17 | Rainbow of Computer Science |
Field | DocType | Volume |
Computer vision,Graphics tablet,Computer graphics (images),Handwriting,Computer science,Data stream,Bézier curve,Smoothing,Artificial intelligence | Conference | 6570 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.63 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khaireel A. Mohamed | 1 | 6 | 2.83 |
| Th. Ottmann | 2 | 468 | 124.40 |