PANORAMIC RENDERING-BASED POLYGON EXTRACTION FROM INDOOR MOBILE LIDAR DATA

• 作 者: M.Nakagawa[1]K.Kataoka[1]T.Yamamoto[1]M.Shiozaki[2]T.Ohhashi[2]
• 机 构: Dept.of Civil Engineering,Shibaura Institute of Technology,Tokyo,Japan
• 出 处: “地理空间数据库与位置服务”国际学术会议
• 发表日期: 2014年期

　　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.