This workshop focuses on the closely related problems of camera calibration and pose estimation. These are essential for many advanced 3D computer vision methods, including NeRFs, 3D Gaussian splatting, and scene understanding. The quality of these estimates greatly affects performance, yet many researchers treat them as black boxes. This workshop offers an opportunity for those using calibration and pose algorithms to learn about the latest methods and open challenges. It also provides a forum for researchers working on traditional and learning-based solutions to share ideas, improve methods, and expand the possibilities of 3D vision through better calibration and pose estimation.