激光与光电子学进展, 2019, 56 (4): 040002, 网络出版: 2019-07-31   

三维点云场景数据获取及其场景理解关键技术综述 下载: 2389次

3D Point Cloud Scene Data Acquisition and Its Key Technologies for Scene Understanding
作者单位
1 东北大学信息科学与工程学院, 辽宁 沈阳 110819
2 河北交通职业技术学院电气与信息工程系, 河北 石家庄 050091
3 北京师范大学遥感科学国家重点实验室, 北京 100875
摘要
场景理解是信息科学里的重要研究内容,而三维(3D)数据相比于二维(2D)数据有着众多优势。目前点云的获取有多种方式,且不同获取方式的点云具有不同的特点,此外,基于点云的3D场景理解中的关键技术研究还没有完整、系统的综述。为此,总结了不同方式的点云获取方法,并对不同的点云数据及相关数据库进行对比分析。基于目前3D场景理解的研究进展,针对3D场景理解中的点云滤波、特征提取与点云分割和点云语义分割等技术进行了对比分析与总结。通过对近些年国内外文献的结论进行梳理,凝练出3D场景理解关键技术中存在的问题,并对3D场景理解问题的发展趋势做了展望。基于点云的3D场景理解因其数据的丰富性而被广泛应用在众多领域中,但是目前基于3D点云的场景理解效果,尤其是针对具有颜色信息的激光点云的场景理解,还有众多内容有待深入研究。
Abstract
Scene understanding is an important research content in information science. Compared with the two-dimensional (2D) data, the three-dimensional (3D) data has many advantages. At present, there are many ways to acquire the point clouds, and meanwhile the point clouds with different acquisition methods have different characteristics. In addition, there lacks a complete and systematic research review on the key techniques for 3D scenes understanding. Thus, the different methods for point cloud acquisition are summarized, and the different point cloud data and related databases are compared and analyzed as well. Based on the current research progress of 3D scene understanding, the techniques for point cloud filtering, feature extraction, point cloud segmentation, and point cloud semantic segmentation in 3D scene understanding are compared and summarized. By the summary of the domestic and foreign literatures published in recent years, the problems occurred in the key technologies for 3D scene understanding are condensed, and the development trend of the 3D scene understanding problems is prospected. The 3D scene understanding based on point clouds is widely used in many fields due to its richness of data. However, as for the scene understanding effect of 3D point clouds, especially the scene understanding of laser point clouds with color information, there are still many contents needed to be investigated in depth.

李勇, 佟国峰, 杨景超, 张立强, 彭浩, 高华帅. 三维点云场景数据获取及其场景理解关键技术综述[J]. 激光与光电子学进展, 2019, 56(4): 040002. Yong Li, Guofeng Tong, Jingchao Yang, Liqiang Zhang, Hao Peng, Huashuai Gao. 3D Point Cloud Scene Data Acquisition and Its Key Technologies for Scene Understanding[J]. Laser & Optoelectronics Progress, 2019, 56(4): 040002.

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