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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]		 2024-03-15
10:10		 Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)		 A proposal of fast and robust method for point cloud registration using graph matching
Shiori Maki, Kenji Kanai, Jiro Katto (Waseda Univ.) IMQ2023-69 IE2023-124 MVE2023-98		 In recent years, LiDAR and RGBD cameras have been widely used to capture 3D spaces by point clouds. In order to update s... [more] IMQ2023-69 IE2023-124 MVE2023-98
pp.307-312
IE, MVE, CQ, IMQ
(Joint) [detail]		 2024-03-15
10:30		 Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)		 A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification
Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.) IMQ2023-70 IE2023-125 MVE2023-99		 In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] IMQ2023-70 IE2023-125 MVE2023-99
pp.313-318
SeMI, IPSJ-MBL, IPSJ-UBI 2022-03-08
14:45		 Online Online Evaluation of Data Augmentation Methods Considering Occlusion Region for 3D Point Cloud Classification
Shiori Maki, Kenji Kanai, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-91		 In recent years, research of point cloud classification using deep learning has been improved. In this paper, we propose... [more] SeMI2021-91
pp.47-52
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