MO3.P7.4
Surfel-based 3D Registration with Equivariant SE(3) Features
Xueyang Kang, Hang Zhao, Kourosh Khoshelham, The University of Melbourne, Australia; Patrick Vandewalle, KU Leuven, Belgium
Session:
MO3.P7: 3D Mapping I Oral
Track:
Data Analysis
Location:
Room P7
Presentation Time:
Monday, 4 August, 13:45 - 14:00
Presentation
Discussion
Resources
No resources available.
Session MO3.P7
MO3.P7.1: GEOMETRIC AND SEMANTIC FUSION NETWORK FOR ACCURATE DENSE STEREO MATCHING
Zhanquan Liu, Yilong Han, Shandong University of Science and Technology, China; Danchao Gong, State Key Laboratory of Geo-information Engineering, China; Yuxuan Liu, Hanchao Zhang, Chinese Academy of Surveying and Mapping, China; Shumin Gu, Qingdao Star-Rising Technologies CO.,LTD, China; Yanfang Ming, Lin Sun, Shandong University of Science and Technology, China
MO3.P7.2: DYNAMIC ADJUSTMENT OF RANDOM KEYFRAMES FOR ENHANCED 3DGS-BASED SLAM PERFORMANCE
Daoqiang Zhou, Yali Cheng, Longfan Yang, Wenbo Xu, Haitao Jia, Le Chang, University of Electronic Science and Technology, China
MO3.P7.3: PANSHARPENING PLANAR NEURAL RADIANCE FIELD FOR SATELLITE IMAGERY
Tongtong Zhang, Yuanxiang Li, Zongcheng Zuo, Shanghai Jiao Tong University, China
MO3.P7.4: Surfel-based 3D Registration with Equivariant SE(3) Features
Xueyang Kang, Hang Zhao, Kourosh Khoshelham, The University of Melbourne, Australia; Patrick Vandewalle, KU Leuven, Belgium
MO3.P7.5: A SEMANTIC 3D RECONSTRUCTION METHOD REDUCING THE IMPACT OF DYNAMIC OBJECTS ON QUALITY
Jiaxin LI, Hao Chen, Zhixiang Guo, Harbin Institute of Technology, China
Resources
No resources available.