摘要
阐述了无人机拍摄的序列图像三维重建的方法,主要涉及图像之间特征点的提取与匹配、稀疏点云重建、密集点云重建、三维点云格网化、纹理映射,最后通过实例演示三维重建过程和最终效果,表明此方法可以重建出高精度、照片级逼真的三维场景.
This paper describes the method of 3D reconstruction based on sequence images of unmanned aerial vehicle, mainly relates to the image feature point extraction and matching, sparse point cloud reconstruction, dense point cloud reconstruction, 3D point cloud gridding, texture mapping. Finally, an example is presented to demonstrate the process of 3D reconstruction and the final effect. It shows that this method can be used to reconstruct the 3D scene with high accuracy and high fidelity.
出处
《河南科学》
2016年第9期1531-1535,共5页
Henan Science
关键词
无人机
序列图像
三维重建
unmanned aerial vehicle： sequence images： 3D reconstruction
