电子测量与仪器学报

闫蓓蓓,娄小平.DAISY 和 LBP 描述符结合的三维点云粗拼接方法[J].电子测量与仪器学报,2020,34(8):73-78

DAISY 和 LBP 描述符结合的三维点云粗拼接方法

Coarse registration method of 3D point cloud based on DAISY and LBP descriptor

DOI：

英文关键词:feature extraction DAISY descriptor point clouds registration

基金项目:国家自然科学基金(51475047)、北京市自然科学基金 B 类重点课题(16JC0011)资助项目

作者	单位
闫蓓蓓	1. 北京信息科技大学光电测试技术及仪器教育部重点实验室
娄小平	2. 北京信息科技大学先进光电子器件与系统学科创新引智基地

Author	Institution
Yan Beibei	1. Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University
Lou Xiaoping	2. Innovation and Talent Introduction Base of Advanced Optoelectronic Devices and Systems,Beijing Information Science and Technology University

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中文摘要:

针对三维点云拼接需借助点云信息几何特征的问题,采用 DAISY 描述符和 LBP 描述符结合的方法提取相邻测量站位重叠区域图像特征,解算出相邻测量站位坐标系之间的位置变换矩阵,从而将多测量站位的三维点云数据初步转换至同一坐标系中。首先,介绍了边缘检测和 DAISY 描述符的构建;然后,通过欧氏距离对相邻图片特征点进行匹配,根据匹配点之间的关系解算出不同站位下的坐标转换关系。实验结果表明,该方法在不使用其他辅助工具的前提下可以较好实现三维点云数据粗拼接,为点云拼接技术在三维重建和逆向工程等领域的应用提供了理论依据。

英文摘要:

Aiming at the problem that the geometric features used for 3D point cloud registration, a combination of DAISY descriptor and LBP descriptor is used to extract the image features of the overlapping area of adjacent measurement stations, and the positions between the coordinate systems of adjacent measurement stations are solved. The transformation matrix is used to transform the 3D point cloud data of multiple measurement stations into the same coordinate system. First, the edge detection and the construction of DAISY descriptors are introduced. Then, the feature points of adjacent pictures are matched by Euclidean distance, and the coordinate transformation relationship at different stations is calculated based on the relationship between the matching points. The experimental results show that the method can well realize the coarse stitching of 3D point cloud data without using other auxiliary tools, and provide a theoretical basis for the application of point cloud registration technology in the fields of 3D reconstruction and reverse engineering.

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