<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Investigating the Impact of Illumination and Viewpoint Variations on Transformer-based Person Re-Identification"^^ . "Variations in visual factors such as illumination, viewpoint, resolution, background, pose, and so on are commonly regarded as significant issues in object re-identification (re-ID). Despite widespread recognition of their importance in determining the performance of an object re-ID model, not enough attention is paid to how these factors affect re-ID systems. One of the major impediments to investigating how these factors affect the performance of re-ID models is the lack of datasets with unbiased distribution of these difficult visual conditions. To make up for the lack of large-scale datasets with a balanced distribution of such photometric and geometric transforms, recent studies suggest using game engines to generate synthetic datasets. This study proposes a quantitative investigation of the impact of two critical visual factors: illumination and Tranfomer-based re-ID models on synthetic dataset. © 2022 IEEE."^^ . "2022" . . . "Institute of Electrical and Electronics Engineers Inc."^^ . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022"^^ . . . . . . . . . . . . . . . . . "P."^^ . "Sebastian"^^ . "P. Sebastian"^^ . . "O."^^ . "Ibrahim"^^ . "O. Ibrahim"^^ . . "T.I."^^ . "Amosa"^^ . "T.I. Amosa"^^ . . "L.I."^^ . "Izhar"^^ . "L.I. Izhar"^^ . . . . . "HTML Summary of #17241 \n\nInvestigating the Impact of Illumination and Viewpoint Variations on Transformer-based Person Re-Identification\n\n" . "text/html" . .