摘要
通过立体图像匹配方法提取实体模型的特征点云数据,为了能够最大限度的去除部分虚假匹配,采用了基于RANSAC的方法对所得的特征点云数据进行优化,然后将优化后的点云数据进行三维几何模型的重构,实验结果表明该方法能够较好的重构出实物三维模型。
The point cloud data was obtained based on the stereo image matehing method, and RANSAC algorilhm was applied to optimize the point cloud data for minimizing the error caused by false matching. The 3D model of real product was reconstructed from Ihe optimized point cloud data. The experiment resuhs show that this method was effective in reconstructing 3D model of real product.
出处
《装备制造技术》
2015年第5期57-60,共4页
Equipment Manufacturing Technology
基金
河南省科技厅重点科技攻关计划项目(142102210253)
