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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 <cTitle>2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)</cTitle>: T1 <Title>Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction</Title>

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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