Name
Abstract | ||
|---|---|---|
We proposed a new dominant point detection method which has the following advantages: robust, computational efficient, and real-time response to pen movement. We construct a variable which is the ratio of the height to the width of an imagined rectangle whose bottom coincides with the polygon enclosed by the pen movement trace, and the area is equal to the polygonal area. While online watching whether the value of this variable exceeds a given threshold, one can find dominant points in real-time. Only when the fluctuation comparing to the scale of a curve is big enough, value of this variable can exceed the given threshold. By this way, pseudo turning points can be rejected. As a new point comes in, only a small number of computations are needed to update the value of this variable. Effectiveness of this method was confirmed by experiments. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IWFHR.2002.1030935 | IWFHR |
Keywords | Field | DocType |
polygon,real-time response,computational geometry,dominant point detection,online scripts,pen movement trace,handwritten character recognition,real-time systems,real time systems,real time,handwriting recognition,robustness,fluctuations,detectors,computational complexity,application software,computer graphics | Small number,Computer vision,Polygon,Computer science,Dominant point detection,Computational geometry,Rectangle,Artificial intelligence,Machine learning,Scripting language,Computation | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
0-7695-1692-0 | 1 | 0.35 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Su Yang | 1 | 110 | 14.58 |
| Guozhong Dai | 2 | 323 | 39.93 |