测绘通报 ›› 2022, Vol. 0 ›› Issue (6): 45-48 ,97.doi: 10.13474/j.cnki.11-2246.2022.0169.

• 学术研究 • 上一篇    下一篇

车载点云特征对应影像自动分割技术研究

钟少忠1, 周克军2, 王留召2,3,4, 毛明楷2,4   

  1. 1. 广东省测绘质量监督检验中心, 广东 广州 510075;
    2. 首都师范大学, 北京 100089;
    3. 中国测绘科学研究院, 北京 100036;
    4. 北京四维远见信息技术有限公司, 北京 100070
  • 收稿日期:2021-09-13 发布日期:2022-06-30
  • 通讯作者: 王留召。E-mail:393499511@qq.com
  • 作者简介:钟少忠(1978-),男,高级工程师,主要研究方向为测绘质量监督检查、测绘成果质量检验、测绘地理信息行业管理、激光点云技术与质量检验的应用。E-mail:251373837@qq.com
  • 基金资助:
    国家自然科学基金(42071444);广东省自然资源厅基础测绘研究项目

Research on automatic image segmentation based on vehicle-mounted point cloud feature

ZHONG Shaozhong1, ZHOU Kejun2, WANG Liuzhao2,3,4, MAO Mingkai2,4   

  1. 1. Guangdong Surveying and Mapping Product Quality Supervision and Inspection Center, Guangzhou 510075, China;
    2. Capital Normal University, Beijing 100089, China;
    3. Chinese Academy of Surveying & Mapping, Beijing 100036, China;
    4. Beijing Geo-Vision Information Technology Co., Ltd., Beijing 100070, China
  • Received:2021-09-13 Published:2022-06-30

摘要: 车载点云数据通过自动提取,可快速得到大量的三维特征数据,利用同步影像数据不仅能提高目标判读的准确性与效率,而且能获取目标对象的属性信息,对质检巡视、部件属性调查、三维建模等生产活动有重要的作用。本文提出了一种车载点云特征数据对应的影像自动分割技术,通过影像的位置姿态判断影像与特征信息间的关系,实现最佳影像自动选取和分割,生成适当范围局部正射影像,并在新影像中标示出特征信息的正确位置。

关键词: 车载移动测量系统, 点云, 三维特征数据, 影像数据, 影像自动分割

Abstract: Through automatic extraction of on-board point cloud data, a large number of three-dimensional characteristic data can be quickly obtained. Using synchronous image data can not only improve the accuracy and efficiency of target interpretation, but also obtain the attribute information of the target object, which plays a very important role in production activities such as quality inspection, component attribute investigation and 3D modeling. In this paper, an automatic image segmentation technology corresponding to the feature data of vehicle-mounted point cloud is proposed. The relationship between the image and the feature information is judged by the position and attitude of the image, so as to realize the optimal image automatic selection and segmentation, generate the appropriate local orthographic image, and mark the correct position of the feature information in the new image.

Key words: vehicle-mounted mobile measurement system, point cloud, 3D characteristic data, image data, automatic image segmentation

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