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GREC
2003
Springer

User Adaptation for Online Sketchy Shape Recognition

14 years 3 months ago
User Adaptation for Online Sketchy Shape Recognition
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning and dynamic user modeling. Incremental active learning is used for sketchy stroke classification such that important data can actively be selected to train the classifiers. Dynamic user modeling is used to model the user’s sketching style in an incremental decision tree, which is then used to recognize the composite shapes dynamically by means of fuzzy matching. Experiments prove the proposed method both effective and efficient for user adaptation in online sketchy shape recognition.
Zhengxing Sun, Liu Wenyin, Binbin Peng, Bin Zhang,
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where GREC
Authors Zhengxing Sun, Liu Wenyin, Binbin Peng, Bin Zhang, Jianyong Sun
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