Limitations of (Procrustes) Alignment in Assessing Multi-Person Human Pose and Shape Estimation
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929515095130112 |
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| author | Martin, Drazic Perrault, Pierre |
| author_facet | Martin, Drazic Perrault, Pierre |
| contents | We delve into the challenges of accurately estimating 3D human pose and shape in video surveillance scenarios. Beginning with the advocacy for metrics like W-MPJPE and W-PVE, which omit the (Procrustes) realignment step, to improve model evaluation, we then introduce RotAvat. This technique aims to enhance these metrics by refining the alignment of 3D meshes with the ground plane. Through qualitative comparisons, we demonstrate RotAvat's effectiveness in addressing the limitations of existing aproaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_16861 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Limitations of (Procrustes) Alignment in Assessing Multi-Person Human Pose and Shape Estimation Martin, Drazic Perrault, Pierre Computer Vision and Pattern Recognition Graphics We delve into the challenges of accurately estimating 3D human pose and shape in video surveillance scenarios. Beginning with the advocacy for metrics like W-MPJPE and W-PVE, which omit the (Procrustes) realignment step, to improve model evaluation, we then introduce RotAvat. This technique aims to enhance these metrics by refining the alignment of 3D meshes with the ground plane. Through qualitative comparisons, we demonstrate RotAvat's effectiveness in addressing the limitations of existing aproaches. |
| title | Limitations of (Procrustes) Alignment in Assessing Multi-Person Human Pose and Shape Estimation |
| topic | Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2409.16861 |