Intelligent classification of sketch strokes

Sheng-feng Qin

doi:10.1109/EURCON.2005.1630216

Intelligent classification of sketch strokes

Sheng-feng Qin

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

12 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of EUROCON 2005 - The International Conference on Computer as a Tool
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1374-1377
Volume	2
ISBN (Print)	142440049X
DOIs	https://doi.org/10.1109/EURCON.2005.1630216
Publication status	Published - 2005
Event	The International Conference on Computer as a Tool, 2005. (EUROCON 2005) - Belgrade Duration: 1 Jan 2005 → …

Conference

Conference	The International Conference on Computer as a Tool, 2005. (EUROCON 2005)
Period	1/01/05 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

fuzzy knowledge
curve classification
curve fitting
sketch recognition

Access to Document

10.1109/EURCON.2005.1630216

Cite this

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title = "Intelligent classification of sketch strokes",

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 = "fuzzy knowledge, curve classification, curve fitting, sketch recognition",

author = "Sheng-feng Qin",

year = "2005",

doi = "10.1109/EURCON.2005.1630216",

language = "English",

isbn = "142440049X",

volume = "2",

pages = "1374--1377",

booktitle = "Proceedings of EUROCON 2005 - The International Conference on Computer as a Tool",

publisher = "IEEE",

address = "United States",

note = "The International Conference on Computer as a Tool, 2005. (EUROCON 2005) ; Conference date: 01-01-2005",

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TY - CHAP

T1 - Intelligent classification of sketch strokes

AU - Qin, Sheng-feng

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - fuzzy knowledge

KW - curve classification

KW - curve fitting

KW - sketch recognition

UR - https://www.scopus.com/pages/publications/33947323437

U2 - 10.1109/EURCON.2005.1630216

DO - 10.1109/EURCON.2005.1630216

M3 - Chapter

SN - 142440049X

VL - 2

SP - 1374

EP - 1377

BT - Proceedings of EUROCON 2005 - The International Conference on Computer as a Tool

PB - IEEE

CY - Piscataway, NJ

T2 - The International Conference on Computer as a Tool, 2005. (EUROCON 2005)

Y2 - 1 January 2005

ER -

Intelligent classification of sketch strokes

Abstract

Conference

UN SDGs

Keywords

Access to Document

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