Supported by National Natural Science Foundation of China(61571313,u1633126);National Key Research and Development Program(2016YFB08-00600);International Science and Technology Cooperation Project of Chengdu City(2015–GH02–00008–HZ);Young Talent Project in Science and Technology Innovation Program of Sichuan Province(2016017)
针对传统对数极坐标傅立叶变换(log-polar mapping based Fourier transform,LPMFT)在大尺度、大旋转及大平移变换情况下不能精确估计图像对之间的变换参数,提出基于层次化及最小二乘的图像配准方法(multi-resolution analysis and leas...