AI RESEARCH

Unconstrained Multi-view Human Pose Estimation with Algebraic Priors

arXiv CS.CV

ArXi:2604.24312v1 Announce Type: new Recovering 3D human pose from multi-view imagery typically relies on precise camera calibration, which is often unavailable in real-world scenarios, thereby severely limiting the applicability of existing methods. To overcome this challenge, we propose an unconstrained framework that synergizes deep neural networks, algebraic priors, and temporal dynamics for uncalibrated multi-view human pose estimation. First, we