Intelligent classification of sketch strokes

Qin, Sheng-feng (2005) Intelligent classification of sketch strokes. In: Proceedings of EUROCON 2005 - The International Conference on Computer as a Tool. IEEE, Piscataway, NJ, pp. 1374-1377. ISBN 142440049X

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/EURCON.2005.1630216

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.

Item Type: Book Section
Uncontrolled Keywords: fuzzy knowledge, curve classification, curve fitting, sketch recognition
Subjects: W200 Design studies
Department: Faculties > Arts, Design and Social Sciences > Design
Depositing User: Ay Okpokam
Date Deposited: 22 Dec 2015 11:39
Last Modified: 24 Oct 2017 08:20
URI: http://nrl.northumbria.ac.uk/id/eprint/25188

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