AI RESEARCH

PnLCalib: Sports Field Registration via Points and Lines Optimization

arXiv CS.AI

ArXi:2404.08401v5 Announce Type: replace-cross Camera calibration in broadcast sports videos presents numerous challenges for accurate sports field registration due to multiple camera angles, varying camera parameters, and frequent occlusions of the field. Traditional search-based methods depend on initial camera pose estimates, which can struggle in non-standard positions and dynamic environments. In response, we propose an optimization-based calibration pipeline that leverages a 3D soccer field model and a predefined set of keypoints to overcome these limitations. Our method also.