INCREMENTAL ON-LINE SKETCHY SHAPE RECOGNITION WITH DYNAMIC MODELING AND RELEVANCE FEEDBACK
首发时间:2004-05-18
Abstract: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.
点击查看论文中文信息
论文图表:
引用
No.6964470108484590****
同行评议
共计0人参与
勘误表
基于动态用户建模和相关反馈的增量在线草图识别方法
评论
全部评论0/1000