%0 Conference Paper %1 conf/sips/LiZXCC22 %A Li, Jingtao %A Zhou, Jian %A Xiong, Yan %A Chen, Xing %A Chakrabarti, Chaitali %B SiPS %D 2022 %I IEEE %K dblp %P 1-6 %T An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. %U http://dblp.uni-trier.de/db/conf/sips/sips2022.html#LiZXCC22 %@ 978-1-6654-8524-1

@inproceedings{conf/sips/LiZXCC22, added-at = {2022-11-07T00:00:00.000+0100}, author = {Li, Jingtao and Zhou, Jian and Xiong, Yan and Chen, Xing and Chakrabarti, Chaitali}, biburl = {https://www.bibsonomy.org/bibtex/267b38c9db786f8e6d7cf5b018eb13d01/dblp}, booktitle = {SiPS}, crossref = {conf/sips/2022}, ee = {https://doi.org/10.1109/SiPS55645.2022.9919246}, interhash = {e5e5bcbda80eb79c572fb8ced6e7d419}, intrahash = {67b38c9db786f8e6d7cf5b018eb13d01}, isbn = {978-1-6654-8524-1}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2024-04-09T13:33:47.000+0200}, title = {An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data.}, url = {http://dblp.uni-trier.de/db/conf/sips/sips2022.html#LiZXCC22}, year = 2022 }