基于特征线框的线结构光视觉传感器测量数据分割与建模

Feature－ frame based on segmentation and modeling of measuring data with line－ structured light vision sensor

根据线结构光视觉传感器测量数据的分布特点，提出了一种基于特征线框的线结构光视觉传感器测量数据的分割与建模方法。首先在每条激光线扫描曲线上提取不连续的角点特征，然后经过扫描线之间角点特征的跟踪、匹配与连接构成特征线框。并以特征线框为依据，对测量数据进行分割，形成具有单一表面特性的区域数据。最后分割数据作规则化网格处理后，在CAD软件I－DEAS中建立了CAD模型。应用实例表明本文提出数据分割与建模方法是有效的。

According to distribution characteristic of measuring data with line－ structured light vision sensor, A method is presented to segment the measuring data and establish CAD model. First, corner features on each scanning curve are identified and extracted,then corner feature tracking algorithm is used to link the extracted corner feature to feature frame.Based on extracted feature frame, the measuring data is segmented into regions with single geometrical feature. Finally, the segmented measuring data are normalized and sent into CAD modeling software IDEAS for modeling. A practical example shows that the presented method for segmentation and modeling is valid.