A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divide the on-line graphics recognition process into four stages: preprocessing,shape classif...
详细信息
A novel and fast shape classification and regularization algorithm for on-line sketchy graphics recognition is proposed. We divide the on-line graphics recognition process into four stages: preprocessing,shape classification,shape fitting,and regularization. Attraction Force Model is employed to progressively combine the vertices on the input sketchy stroke and reduce 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 *** results show that this algorithm can yield good recognition precision(averagely above 90% )and fine regularization effect but with fast speed. Consequently,it is especially suitable to computational critical environment such as PDAs,which solely depends on a pen-based user interface.
同步是并发语言的一个重要特征,然而在面向对象的框架下,同步约束的存在可能导致不期望的方法的重定义.基于并发面向对象规约语言VDM++(Vienna development method)的两种同步机制,提出一种适合于并发面向对象广谱规约语言的同步模型-...
详细信息
同步是并发语言的一个重要特征,然而在面向对象的框架下,同步约束的存在可能导致不期望的方法的重定义.基于并发面向对象规约语言VDM++(Vienna development method)的两种同步机制,提出一种适合于并发面向对象广谱规约语言的同步模型-卫式路径结构.它不但可以支持一般代码的复用,而且可以全方位地支持对同步代码的复用.
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