• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Optics and Lasers in Engineering >Planar segmentation of indoor terrestrial laser scanning point clouds via distance function from a point to a plane
【24h】

Planar segmentation of indoor terrestrial laser scanning point clouds via distance function from a point to a plane

机译：通过点到平面的距离函数对室内地面激光扫描点云进行平面分割

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Terrestrial laser scanners are frequently used in most of measurement application, particularly in documentation and restoration studies of indoor historical structures, and in acquiring facade reliefs. When compared to a photogrammetric method, terrestrial laser scanners have the ability to give three dimensional point cloud data directly in a fast and detailed way. High data density of point cloud data is a challenging factor in texture-map operations during documentation and restoration of historical artifacts with more indoor spaces. When coordinate information for terrestrial laser scanner point cloud data is documented, it is seen that there is no regular order and classification for the data. The aim of this study is to suggest the mathematical filtering algorithm for segmentation work towards separation of planar surfaces which have different depths and parallel to each other and which can be frequently encountered in the indoor spaces from the data of terrestrial laser scanner. Filtering function for segmentation used, is based on the distance of a point to the plane. This algorithm has been chosen for the advantage of the rapid and easy results for extracting 3D coordinate data in texture mapping process. The MatLAB interface has been developed for using this method and analyzing the results for application which is detected how many different surfaces exist according to the statistical deviation amount. In the application, test data with 21932 points was segmented by separating it into 16 points in total with four different planes and four corner points per plane. Surfaces with four different depths were obtained as the result of the research. Each of them included four points. These segmented surfaces consisting of four points will facilitate integrated data production by integrating vectorial terrestrial laser scanner data into raster camera data, without the need to conventional measurements that accelerate particularly documentation and modeling in the fields of historical indoor areas.
机译：地面激光扫描仪经常用于大多数测量应用中，尤其是在对室内历史建筑的记录和修复研究以及获取外墙浮雕中。与摄影测量方法相比，地面激光扫描仪具有快速，详细地直接给出三维点云数据的能力。在记录和还原具有更多室内空间的历史文物期间，点云数据的高数据密度是纹理贴图操作中的一个挑战性因素。当记录了地面激光扫描仪点云数据的坐标信息时，可以看出该数据没有规则的顺序和分类。这项研究的目的是提出一种数学滤波算法，用于分割工作，以分离具有不同深度和彼此平行并且在室内空间中从地面激光扫描仪的数据中经常遇到的平面。用于分割的过滤功能是基于点到平面的距离。选择该算法的原因是可以在纹理映射过程中快速简便地提取3D坐标数据。 MatLAB接口已经开发出来，可以使用这种方法并分析应用结果，并根据统计偏差量检测出存在多少个不同的表面。在该应用程序中，将21932点的测试数据分割为总共16个点，每个点有四个不同的平面，每个平面有四个角点。研究结果获得了具有四个不同深度的表面。他们每个人都包括四点。通过将矢量地面激光扫描仪数据集成到光栅相机数据中，这些由四个点组成的分割表面将有助于集成数据生成，而无需进行常规测量即可加快历史室内区域的记录和建模工作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号