中国机械工程2011，Vol.22Issue(14)：1699-1703,5.
涡轮叶片密集点云数据与CAD模型配准方法
Registration for Turbine Blade between Dense Cloud Data and CAD Model
摘要
Abstract
For the matching problem between dense cloud data and CAD model,a registration method based on curvatures calculation of simplified model was proposed.Feature surfaces were extracted based on the curvature of simplified and CAD model,three corresponding points were searched through feature surfaces,and the transformation matrix was computed.Then the obtained matrix was applied to original cloud data to achieve pre-registration.The last step was accurate registration that achieved through SVD-ICP algorithm.Experimental results show that the method can realize registration between dense cloud data and CAD model,and demonstrate the efficiency and practicality of the method.关键词
密集点云数据/模型简化/特征提取/配准Key words
dense cloud data/model simplification/feature extracting/registration分类
信息技术与安全科学引用本文复制引用
黄胜利,卜昆,程云勇,周丽敏..涡轮叶片密集点云数据与CAD模型配准方法[J].中国机械工程,2011,22(14):1699-1703,5.基金项目
航空科学基金资助项目（2008ZE53042) （）
