DocumentCode
2498518
Title
A freehand sketchy graphic input system: SketchGIS
Author
SUN, ZHENG-XING ; Zhang, Bin ; Qiu, Qing-hua ; Zhang, Li-sha
Author_Institution
State Key Lab for Novel Software Technol., Nanjing Univ., China
Volume
5
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
3232
Abstract
Sketching is a natural and effective way to capture designer´s brainstorms ideas. This paper presents a sketch-based graphics input system for conceptual design (SketchGIS), which is mainly based on online graphic recognition and dynamic user modeling. Online graphic recognition can discover latent primitive shapes among user-drawn strokes and show the regularized shape on the screen immediately based on spatial-relation graph (SRG) representation and conditioned partial matching by shape preparing, feature recognition, shape filtering and regularization. Dynamic user modeling method is used to recognize and predict sketchy composite shapes before they are completely drawn for user adaptation, which is based on the SVM-based incremental active learning method and the incremental decision tree induction method. Experiments show that the proposed method in this paper can yield good recognition precision, and the prototype system proposed provides fine user interaction effect, especially for UML diagramming.
Keywords
computer graphics; decision trees; feature extraction; graphical user interfaces; learning (artificial intelligence); support vector machines; user modelling; SVM based incremental active learning method; UML diagramming; decision tree induction method; dynamic user modeling; feature extraction; feature recognition; online graphic recognition; partial matching; prototype system; regularization; shape filtering; sketch based graphics input system; sketchGIS; spatial relation graph; support vector machine; Computer graphics; Computer science; Filtering; Learning systems; Matched filters; Predictive models; Prototypes; Shape; Sun; Unified modeling language;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1260138
Filename
1260138
Link To Document