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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/1751
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| Title: | Intelligent classification of sketch strokes |
| Authors: | Qin, SF |
| Keywords: | Fuzzy knowledge Curve classification Curve fitting Sketch recognition |
| Publication Date: | 2005 |
| Publisher: | IEEE |
| Citation: | IEEE EUROCON2005 “Computer As a Tool”, Belgrade, Serbia & Montenegro, 22-24,2005, pp. 1374-1377 |
| Abstract: | This paper presents an intelligent method for classifying pen strokes in an on-line sketching system. The method, based on adaptive threshold and fuzzy knowledge with respect to curve's linearity and convexity, can identify sketch strokes (curves) into lines, circles, arcs, ellipses, elliptical arcs, loop lines, spring lines and free-form B-spline curves. The proposed method has proven to be fast, suitable for real-time classification and identification. |
| URI: | http://bura.brunel.ac.uk/handle/2438/1751 |
| DOI: | http://dx.doi.org/10.1109/EURCON.2005.1630216 |
| ISBN: | 1-4244-0049-X |
| Appears in Collections: | Design School of Engineering and Design Research papers Advanced Manufacturing and Enterprise Engineering (AMEE)
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