1) line type identification
线形识别
2) online graphics recognition
在线图形识别
1.
Because of the difference in users’handwritings,drawing styles,and accents,it is necessary to build user adaptation systems in order to identify the users’intentions in the online graphics recognition system.
在在线图形识别系统中 ,与基于规则的用户适应方法相比 ,基于SVM增量学习的方法可以适应多个用户 。
3) the curve pattern recognition
曲线形态识别
1.
In this paper,the importance of the curve pattern recognition was expounded.
阐述了曲线形态识别的重要性,分析了曲线形态识别的常用模型,通过分析得知曲线上的弯曲是以拐点划分的。
4) online composite shape recognition
在线复杂图形识别
1.
This paper describes a novel method of online composite shape recognition in terms of the relevance feedback technology to capture a user s intentions incrementally,and a dynamic user modeling method to adapt to various users styles.
提出一种在线复杂图形识别方法,在该方法中引入相关反馈技术来逐渐捕获用户绘图意图并使用用户模型来适应不同用户的绘图习惯。
5) On-line sketchy graphics recognition
在线手绘图形识别
6) shape recognition
图形识别
1.
Shape Recognition Based on Invariant Moment;
不变矩在矢量图形识别中的应用
2.
This shape recognition method based on real valued boundary points is employed to match two shapes with the proportional property of the arrays of their feature values.
本文提出的图形识别方法基于边缘点的实数值坐标 ,利用两幅图形特征值数列的比例特性进行匹配 。
补充资料：道路线形设计
见公路线形设计。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条