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1 Ergebnisse
1
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pos..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Wang, Pengyuan
;
Jung, HyunJun
;
Li, Yitong
... - p. 21190-21199 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.02054
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879622&Exemplar=1&LAN=DE A1 Wang, Pengyuan A1 Jung, HyunJun A1 Li, Yitong A1 Shen, Siyuan A1 Srikanth, Rahul Parthasarathy A1 Garattoni, Lorenzo A1 Meier, Sven A1 Navab, Nassir A1 Busam, Benjamin YR 2022 SN 2575-7075 K1 Solid modeling K1 Three-dimensional displays K1 Annotations K1 Shape K1 Pose estimation K1 Pipelines K1 Robot vision systems K1 Datasets and evaluation; 3D from single images; Pose estimation and tracking SP 21190 OP 21199 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.02054 DO https://doi.org/10.1109/CVPR52688.2022.02054 SF ELIB - SuUB Bremen
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