机译:具有自适应收敛阈值的多视点点云注册及其在3D模型检索中的应用
School of Software Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China;
School of Software Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China;
School of Software Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China;
School of Software Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China;
School of Software Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China;
Department of Computer Science and Technology Xi'an Jiaotong University Xi'an Shaanxi Province China;
Point cloud registration; ICP algorithm; Convergence threshold; Geometric saliency; 3D model retrieval;
机译:改进迭代最接近点(ICP)3D点云注册算法基于点云过滤和粗略注册的自适应烟花
机译:机器人3D对象扫描和重建中多视角点云配准的创新方法
机译:机器人3D对象扫描和重建中多视角点云配准的创新方法
机译:基于图像配准和改进的ICP算法的多视图3D激光点云自动配准
机译:使用体积配准和几何水平集分割的3D多视图徒手超声重建系统。
机译:3D激光扫描仪点云自动配准方法的收敛区域评估
机译:机器人三维物体扫描与重建中多视点云配准的创新方法