Paper titled: Head Pose Estimation Based on 5D Rotation Representation [paper]
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- Fig. Snapshots of 7 different views from one sequence in the CMU Panoptic val-set dataset.
| Method | R | RR | Yaw | Pitch | Roll | MAE |
|---|---|---|---|---|---|---|
| Narrow range: -90° < yaw < 90° | ||||||
| DirectMHP [Zhou et al., 2023] | ✅ | E | 5.86 | 8.25 | 7.25 | 7.12 |
| DirectMHP [Zhou et al., 2023] | ❌ | E | 5.75 | 8.01 | 6.96 | 6.91 |
| 5DResNet (ours) | ✅ | 5D | 5.01 | 6.89 | 6.00 | 5.97 |
| Full range: -180° < yaw < 180° | ||||||
| Cobo et al. [Cobo et al., 2024] | ❌ | E | - | - | - | 10.47 |
| Viet et al. [Viet et al., 2021] | ❌ | RM | 9.55 | 11.29 | 8.32 | 9.72 |
| Cobo et al. [Cobo et al., 2024] | ❌ | Q | - | - | - | 9.32 |
| DirectMHP [Zhou et al., 2023] | ✅ | E | 7.38 | 8.56 | 7.47 | 7.80 |
| DirectMHP [Zhou et al., 2023] | ❌ | E | 7.32 | 8.54 | 7.35 | 7.74 |
| WHENet [Zhou et al., 2020] | ❌ | E | 8.51 | 7.67 | 6.78 | 7.65 |
| Cobo et al. [Cobo et al., 2024] | ❌ | 6D | - | - | - | 7.45 |
| 5DResNet (ours) | ✅ | 5D | 5.96 | 7.68 | 6.28 | 6.64 |
RR: Rotation Representation. R: Retraining.
- CMU Panoptic from here for the full range angles.
python3 train_5D_Resnet.py
python3 test_Resnet.py
@inproceedings{algabri2024head,
title={Head Pose Estimation Based on 5D Rotation Representation},
author={Algabri, Redhwan and Lee, Sungon},
booktitle={2024 IEEE Symposium on Wireless Technology \& Applications (ISWTA)},
pages={195--199},
year={2024},
organization={IEEE}
}