首页> 外文会议>2018 International Conference on Electronics, Information, and Communication >Alignment of 3D point cloud, CAD model, real-time camera view and partial point cloud for pipeline retrofitting application
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Alignment of 3D point cloud, CAD model, real-time camera view and partial point cloud for pipeline retrofitting application

机译:3D点云,CAD模型,实时摄像机视图和部分点云的对准,可用于管道改造应用

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摘要

Alignment of 3D laser scanner point cloud data within the video of real environment view from the camera is very new and efficient method for construction, monitoring and retrofitting of complex engineering models in heavy industrial plants. Connecting the laser scanner generated point cloud data with physical world helps the users to find, analyze and modify the specific element of the model corresponding to the physical model. One of the most difficult aspects in alignment process is that models generated from LiDAR sensors must be aligned appropriately with the models in the scene of the video. This paper presents a framework for alignment of LiDAR generated point cloud within the video scene using frame-by-frame registering method. Finally, the significance of proposed alignment method in pipeline retrofitting applications in plant engineering illustrated with inserting CAD models.
机译:将3D激光扫描仪点云数据对准相机的真实环境视图中的视频是一种非常有效的方法,用于重型工业工厂中复杂工程模型的构建,监视和翻新。将激光扫描仪生成的点云数据与物理世界连接起来,可以帮助用户查找,分析和修改与物理模型相对应的模型的特定元素。对齐过程中最困难的方面之一是,必须将LiDAR传感器生成的模型与视频场景中的模型适当对齐。本文提出了一种使用逐帧配准方法在视频场景内对准LiDAR生成的点云的框架。最后,通过插入CAD模型说明了拟议的对准方法在工厂工程管道改造应用中的意义。

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