This article attempts to help you overcome the learning curve so you can explore the profile features and implement them in your environment more quickly.
本文试图帮助读者解决学习过程中的难点，让读者更快地掌握概要文件特性并在环境中实现它们。
The method and technology of identifying parts profile features automatically based on scanning data are studied.
主要研究基于扫描数据自动识别零件轮廓特征的方法与技术。
The measurement and extraction of the section profile features of cylinders are the basis of the evaluation of their diameters, form & position errors and roughness.
在分析回转类零件采样特点的基础上，给出了圆度、圆柱度、轴线直线度及同轴度等形位误差的数学模型。
Experiments show that the method reflects the features of human faces very well and using SVM to classify profile features is an effective method for detecting human face.
实验表明：轮廓特征能较好的反映人的脸部特征，用支持向量机对轮廓特征进行分类的方法来检测人脸是有效的。
The distributions of surface height, surface asperity and valley number of various sedan steel plates were analyzed by correlating the surface profile features with the tribological behavior.
通过对典型轿车钢板表面形貌的分析，以形貌与其摩擦学性能的关系为出发点，对粗糙表面、粗糙峰和粗糙谷的分布特性进行了统计分析。
The distributions of surface height, surface asperity and valley number of various sedan steel plates were analyzed by correlating the surface profile features with the tribological behavior.
通过对典型轿车钢板表面形貌的分析，以形貌与其摩擦学性能的关系为出发点，对粗糙表面、粗糙峰和粗糙谷的分布特性进行了统计分析。
应用推荐