PANORAMIC RENDERING-BASED POLYGON EXTRACTION FROM INDOOR MOBILE LIDAR DATA
In this paper,we propose a method for panoramic point-cloud rendering-based polygon extraction from indoor mobile LiDAR data.Our aim was to improve region-based point-cloud clustering in modeling after point-cloud registration.First,we propose a pointcloud clustering methodology for polygon extraction on a panoramic range image generated with point-based rendering from a massive point cloud.Next,we describe an experiment that was conducted to verify our methodology with an indoor mobile mapping system in an indoor environment.This experiment was wall-surface extraction using a rendered point-cloud from 64 viewpoints over a wide indoor area.Finally,we confirmed that our proposed methodology could achieve polygon extraction through point-cloud clustering from a complex indoor environment.
Indoor mobile mapping Point-cloud Point-based rendering Point cloud clustering 3D polygon extraction
M.Nakagawa K.Kataoka T.Yamamoto M.Shiozaki T.Ohhashi
Dept.of Civil Engineering,Shibaura Institute of Technology,Tokyo,Japan Nikon Trimble Co.,Ltd.,Tokyo,Japan
国内会议
苏州
英文
181-186
2014-05-14（万方平台首次上网日期，不代表论文的发表时间）