DocumentCode
1920374
Title
Intelligent Classification of Sketch Strokes
Author
Qin, Shengfeng
Author_Institution
Sch. of Eng. & Design, Brunel Univ., Uxbridge
Volume
2
fYear
2005
fDate
21-24 Nov. 2005
Firstpage
1374
Lastpage
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
Keywords
computational geometry; curve fitting; fuzzy set theory; pattern classification; splines (mathematics); curve classification; curve fitting; fuzzy knowledge; intelligent classification; online sketching system; pen strokes; sketch recognition; sketch strokes; Curve fitting; Design automation; Fuzzy logic; Geometry; Linearity; Pattern recognition; Product design; Solid modeling; Spline; Springs; Fuzzy knowledge; curve classification; curve fitting; sketch recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location
Belgrade
Print_ISBN
1-4244-0049-X
Type
conf
DOI
10.1109/EURCON.2005.1630216
Filename
1630216
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