![三维点云全自动配准方法](/CN/2015/1/204/images/201511022376.jpg)
基本信息:
- 专利标题: 三维点云全自动配准方法
- 申请号:CN201511022376.3 申请日:2015-12-30
- 公开(公告)号:CN105654483B 公开(公告)日:2018-03-20
- 发明人: 范文文 , 潘雷雷 , 荆海龙
- 申请人: 四川川大智胜软件股份有限公司
- 申请人地址: 四川省成都市武侯区武科东一路7号
- 专利权人: 四川川大智胜软件股份有限公司
- 当前专利权人: 四川川大智胜软件股份有限公司
- 当前专利权人地址: 四川省成都市武侯区武科东一路7号
- 代理机构: 四川力久律师事务所
- 代理人: 熊晓果; 王芸
- 主分类号: G06T7/33
- IPC分类号: G06T7/33
The invention discloses a three-dimensional point cloud full-automatic registration method. The method includes the following steps that: two groups of point cloud data A and B are inputted, the normal directions and boundaries of the two groups of point cloud data A and B are calculated, and the data are simplified, and boundary points are removed; three-dimensional feature processing is performed on the pre-processed point cloud data A and B, so that corresponding three-dimensional feature descriptors Key A and Key B are obtained; as for each datum in the Key A, a plurality of points which are nearest to each datum in the Key are searched in the Key B, and are adopted as preliminary corresponding points, and corresponding points which do not satisfy a predetermined condition are removed from the preliminary corresponding points, so that a final candidate point set can be obtained; rigid transformation matrixes are calculated for each group of candidate point pair so as to form a candidate matrix set; and confidence factors are calculated for each candidate matrix according to the candidate matrix set, a candidate matrix with a maximum confidence factor is selected as a final rigid transformation matrix, and source point cloud is transformed to a coordinate system of target point cloud through the rigid transformation matrix.
公开/授权文献:
- CN105654483A 三维点云全自动配准方法 公开/授权日:2016-06-08
IPC结构图谱:
G | 物理 |
--G06 | 计算;推算;计数 |
----G06T | 一般的图像数据处理或产生 |
------G06T7/00 | 图像分析,例如从位像到非位像 |
--------G06T7/10 | .分割;边缘检测 |
----------G06T7/33 | ..使用基于特征的方法 |