MO6.V19.1: A DEEP LEARNING APPROACH FOR AUTOMATED BUILDING OUTLINES EXTRACTION IN COMPACT URBAN ENVIRONMENTS
Bahareh Kalantar, Naonori Ueda, RIKEN Center for Advanced Intelligence Project, Japan; Sani Success Ojogbane, Faculty of Engineering, Universiti Putra Malaysia, Seri Kembangan, Malaysia; Seyd Teymoor Seydi, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran; Alfian Halin, Shattri Mansor, Universiti Putra Malaysia, Malaysia
MO6.V19.2: VEHICLE COMPLETION IN TRAFFIC SCENE USING 3D LIDAR POINT CLOUD DATA
Chongrong Wu, Yitai Lin, Yan Guo, Chenglu Wen, Cheng Wang, Xiamen University, China; Yongfei Shi, Xiamen Rail Transit Construction, China
MO6.V19.3: A LIDAR-BASED 3D INDOOR MAPPING FRAMEWORK WITH MISMATCH DETECTION AND OPTIMIZATION
Zhiyong Wang, Weiquan Liu, Chenglu Wen, Jinbin Tan, Cheng Wang, Xiamen University, China; Yongfei Shi, Xiamen Rail Transit Group Co., Ltd., China; Xiaocheng Yan, Xiamen Sizong Construction Co., Ltd., China; Jonathan Li, University of Waterloo, Canada
MO6.V19.4: FOREGROUND-BACKGROUND SEGMENTATION OF SEQUENTIAL POINT CLOUDS
Chengzhe Yang, Cheng Wang, Xiamen University, China; Yiping Chen, Sun Yat-sen University, China; Jonathan Li, University of Waterloo, Canada
MO6.V19.5: MARKER-FREE REGISTRATION OF TERRESTRIAL LASER SCANNING DATA UNDER FOREST WITH STEM POSITION TRIPLET MATCHING BASED ON KD-TREE
Zehui Jin, Cuicui Ji, Chuan Hu, Hongzhou Zhu, School of Civil Engineering, Chongqing Jiaotong University., China; Maolin Chen, School of Civil Engineering, Chongqing Jiaotong University;Key Laboratory of Urban Resources Monitoring and Simulation,Ministry of Natural Resources., China
MO6.V19.6: DENSITY ADAPTIVE PLANE SEGMENTATION FROM LONG-RANGE TERRESTRIAL LASER SCANNING DATA
Aobo An, Lidu Zhao, Hongzhou Zhu, Feifei Tang, School of Civil Engineering, Chongqing Jiaotong University, China; Maolin Chen, 1. School of Civil Engineering, Chongqing Jiaotong University. 2. Key Laboratory of Urban Resources Monitoring and Simulation,Ministry of Natural Resources, China