Aiming at the problem of point clouds registration without prior information on transformation, a novel registration algorithm is proposed based on geometric properties of point clouds.
为了有效地解决不存在明确对应关系的点云配准问题，提出了一种基于点云几何特征的配准算法。
Firstly, all the pairwise points are searched by taking the curvature of point clouds as the registration relationship.
首先以点云的曲率为联系特征，搜索配准点云的匹配对集合；
Following works have been done in the paper: (1) Multi-view point clouds registration.
本文主要进行了以下几方面工作：1、多视点云拼接算法的研究。
Multi-view point clouds registration is one of the key techniques in 3D vision measurement for large object.
在大型物体三维视觉测量中，多视点云的对齐是其关键技术之一。
Point-clouds registration is widely applied in reverse-engineering, computer vision and medical imaging, etc.
点云数据拼接在逆向工程、计算机视觉、医学图像处理等方面有着十分广泛的应用。
Point-clouds registration is widely applied in reverse-engineering, computer vision and medical imaging, etc.
点云数据拼接在逆向工程、计算机视觉、医学图像处理等方面有着十分广泛的应用。
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