Proceedings of the 5th international conference on Multimodal interfaces
A conceptual modeling approach actualizing the pencil and paper metaphor
Proceedings of the 2007 ACM symposium on Solid and physical modeling
UISK: Supporting Model-Driven and Sketch-Driven Paperless Prototyping
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
An Agent-Based Paradigm for Free-Hand Sketch Recognition
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
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A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divided the on-line graphics recognition process into four stages: preprocessing, shape classification, shape fitting, and regularization. The Attraction Force Model is proposed to progressively combine the vertices on the input sketchy stroke andreduce the total number of vertices before the type of shape can be determined. After that, the shape is fitted and gradually rectified to a regular one, thus the regularized shape fits the user-intended one precisely. Experimental results show that this algorithm can yield good recognition precision (averagely above 90%) and fine regularization effect with a fast speed. Consequently, it is especially suitable for weak computation environment such as PDAs, which solely depends on a pen-based user interface.