%0 Journal Article %1 journals/aeog/LiuWZZDZLW22 %A Liu, Shaocong %A Wang, Tao %A Zhang, Yan %A Zhou, Ruqin %A Dai, Chenguang %A Zhang, Yongsheng %A Lei, Haozhen %A Wang, Hanyun %D 2022 %J Int. J. Appl. Earth Obs. Geoinformation %K dblp %P 102944 %T Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration. %U http://dblp.uni-trier.de/db/journals/aeog/aeog112.html#LiuWZZDZLW22 %V 112

@article{journals/aeog/LiuWZZDZLW22, added-at = {2022-09-30T00:00:00.000+0200}, author = {Liu, Shaocong and Wang, Tao and Zhang, Yan and Zhou, Ruqin and Dai, Chenguang and Zhang, Yongsheng and Lei, Haozhen and Wang, Hanyun}, biburl = {https://www.bibsonomy.org/bibtex/2fa0ffad0321d27edabf28e1b1d89c1ea/dblp}, ee = {https://doi.org/10.1016/j.jag.2022.102944}, interhash = {5822750490593e32566ff03e83e814b6}, intrahash = {fa0ffad0321d27edabf28e1b1d89c1ea}, journal = {Int. J. Appl. Earth Obs. Geoinformation}, keywords = {dblp}, pages = 102944, timestamp = {2024-04-09T02:21:57.000+0200}, title = {Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration.}, url = {http://dblp.uni-trier.de/db/journals/aeog/aeog112.html#LiuWZZDZLW22}, volume = 112, year = 2022 }