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INCREMENTAL ON-LINE SKETCHY SHAPE RECOGNITION WITH DYNAMIC MODELING AND RELEVANCE FEEDBACK
Sun Zheng Xing #,Wang Qiang *,Yin Jian Feng
Nanjing University
*Correspondence author
#Submitted by
Subject:
Funding: 国家自然科学基金(No.69903006+60373065)
Opened online:18 May 2004
Accepted by: none
Citation: Sun Zheng Xing,Wang Qiang,Yin Jian Feng.INCREMENTAL ON-LINE SKETCHY SHAPE RECOGNITION WITH DYNAMIC MODELING AND RELEVANCE FEEDBACK[OL]. [18 May 2004] http://en.paper.edu.cn/en_releasepaper/content/696
 
 
In this paper, we have exploited an original principle of the incremental online sketchy shapes recognition. The recognition process is based on two aspects: the dynamic user modeling and relevance feedback. Firstly, we adopt an dynamic user modeling way to build user models for each specific user in an incremental decision tree and recognize dynamically the ‘possible shapes’ by means of fuzzy matching based on the visiting frequency of each recorded shape of user models. Secondly, we make attempt to bring relevance feedback method into the incremental sketchy recognition to to capture users’ input intends and refine the recognition results incrementally. Experiments prove the proposed method both effective and efficient.
Keywords:Sketch-based user interface, Incremental On-line skech recognition, Dynamic User Modeling, Relevance feedback
 
 
 

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