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http://bura.brunel.ac.uk/handle/2438/1751
Title: | Intelligent classification of sketch strokes |
Authors: | Qin, SF |
Keywords: | Fuzzy knowledge;Curve classification;Curve fitting;Sketch recognition |
Issue 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 Publications Brunel Design School Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Intelligent Classification of Sketch Strokes.pdf | 1.92 MB | Adobe PDF | View/Open |
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