3D Human Pose Estimation Using Ultra-low Resolution Thermal Images

Can we estimate 3D human pose from ultra-low resolution thermal images (e.g., 8 × 8 pixels)? This study explores this possibility. Thermal images capture radiation intensity, minimizing personal information exposure, and are commonly used in devices like air conditioners. We propose a framework that uses 8 × 8 thermal images for 3D human pose estimation, enhancing privacy and efficiency. To overcome challenges from subject and ambient temperature variations, we employ adversarial learning with discriminators for subject and temperature, ensuring robust and invariant feature extraction.