Revisiting the Role of Texture in 3D Person Re-identification
<|reference_start|>Revisiting the Role of Texture in 3D Person Re-identification: This study introduces a new framework for 3D person re-identification (re-ID) that leverages readily available high-resolution texture data in 3D reconstruction to improve the performance and explainability of the person re-ID task. We propose a method to emphasize texture in 3D person re-ID models by incorporating UVTexture mapping, which better differentiates human subjects. Our approach uniquely combines UVTexture and its heatmaps with 3D models to visualize and explain the person re-ID process. In particular, the visualization and explanation are achieved through activation maps and attribute-based attention maps, which highlight the important regions and features contributing to the person re-ID decision. Our contributions include: (1) a novel technique for emphasizing texture in 3D models using UVTexture processing, (2) an innovative method for explicating person re-ID matches through a combination of 3D models and UVTexture mapping, and (3) achieving state-of-the-art performance in 3D person re-ID. We ensure the reproducibility of our results by making all data, codes, and models publicly available.<|reference_end|>
@article{nguyen2024revisiting,
    title={Revisiting the Role of Texture in 3D Person Re-identification},
    author={Huy Nguyen, Kien Nguyen, Akila Pemasiri, Sridha Sridharan and Clinton
  Fookes},
    journal={arXiv preprint arXiv:2410.00348},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.00348},
    primaryClass={cs.CV}
}