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1 Ergebnisse
1
Digital Twin in Retail: An AI-Driven Multi-Modal Approach f..:
, In:
2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
,
Liu, Jingya
;
Huang, Issac
;
Anand, Aishwarya
.. - p. 368-373 , 2024
Link:
https://doi.org/10.1109/VRW62533.2024.00072
RT T1
2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
: T1
Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction
UL https://suche.suub.uni-bremen.de/peid=ieee-10536578&Exemplar=1&LAN=DE A1 Liu, Jingya A1 Huang, Issac A1 Anand, Aishwarya A1 Chang, Po-Hao A1 Huang, Yufang YR 2024 K1 Computer vision K1 Three-dimensional displays K1 Data collection K1 User interfaces K1 Cameras K1 Real-time systems K1 Digital twins K1 Computer systems organization [Real-time systems]: Real-time system architecture K1 Software and its engineering [Software notations and tools]: Development frameworks and environments—Application specific development environments K1 Information systems [Information systems applications]: Multimedia information systems—Multimedia databases K1 Computing methodologies [Artificial intelligence]: Computer vision—Computer vision problems Object detection, Object recognition, Tracking SP 368 OP 373 LK http://dx.doi.org/https://doi.org/10.1109/VRW62533.2024.00072 DO https://doi.org/10.1109/VRW62533.2024.00072 SF ELIB - SuUB Bremen
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