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1 Ergebnisse
1
An Optimized RANSAC for The Feature Matching of 3D LiDAR Po..:
, In:
Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things
,
Cui, Yunge
;
Hao, Yingming
;
Wu, Qingxiao
... - p. 287-291 , 2024
Link:
https://dl.acm.org/doi/10.1145/3670105.3670153
RT T1
Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things
: T1
An Optimized RANSAC for The Feature Matching of 3D LiDAR Point Cloud
UL https://suche.suub.uni-bremen.de/peid=acm-3670153&Exemplar=1&LAN=DE A1 Cui, Yunge A1 Hao, Yingming A1 Wu, Qingxiao A1 Wang, Qun A1 Wang, Jianyu A1 Zhao, Pengfei A1 Zhu, Feng PB ACM YR 2024 K1 Challenging Scenes K1 Feature Matching K1 LinK3D Feature K1 Optimized RANSAC K1 Mathematics of computing K1 Mathematical analysis K1 Mathematical optimization K1 Continuous optimization K1 Linear programming SP 287 OP 291 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3670105.3670153 DO https://dl.acm.org/doi/10.1145/3670105.3670153 SF ELIB - SuUB Bremen
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