A global optimization and whole registration algorithm of multi-view 3D laser point cloud is presented. Detailed derivation of global optimization adjustment model of multi-view laser point cloud is showed in this paper. This algorithm can handle disordered and scattered multi-view 3D laser point cloud, at the same time optimal transformation parameters can be obtained. Practical 3D laser point cloud data are exemplified for the feasibility and effectiveness of proposed methods.
Shuai WangHuayan SunHuichao GuoLin DuTianjian Liu
Ming GuoBingnan YanGuoli WangPingjun NieDeng PanKecai GuoYunming Liu
Jinrui ZhangFeifei XieLin SunPing ZhangZhipeng ZhangJinpeng ChenFangrui ChenM.J. Yi
Ziming ZhaoXiangyang HaoSong ZhaoYintai Su
Xudong ZhangGuosong WuLiangmei HuZhumeng WangDi Wei