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1 Ergebnisse
1
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences w..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Zhong, Jia-Xing
;
Zhou, Kaichen
;
Hu, Qingyong
... - p. 8500-8510 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00832
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9880385&Exemplar=1&LAN=DE A1 Zhong, Jia-Xing A1 Zhou, Kaichen A1 Hu, Qingyong A1 Wang, Bing A1 Trigoni, Niki A1 Markham, Andrew YR 2022 SN 2575-7075 K1 Point cloud compression K1 Three-dimensional displays K1 Pain K1 Tracking K1 Computational modeling K1 Dynamics K1 Surgery K1 3D from multi-view and sensors; Action and event recognition; Face and gestures; RGBD sensors and analytics; Video analysis and understanding SP 8500 OP 8510 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00832 DO https://doi.org/10.1109/CVPR52688.2022.00832 SF ELIB - SuUB Bremen
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