Rojtberg, PavelPavelRojtbergKuijper, ArjanArjanKuijper2022-03-132022-03-132017https://publica.fraunhofer.de/handle/publica/39903310.1109/ISMAR-Adjunct.2017.60The choice of poses for camera calibration with planar patterns is only rarely considered - yet the calibration precision heavily depend on it. This work presents a pose selection method that explicitly avoids singular pose configurations which would lead to an unreliable solution. Consequently camera poses are favoured that reduce the uncertainty of the calibration parameters most. For this purpose the quality of the calibration parameters is continuously estimated using uncertainty propagation. Our approach performs better than comparable solutions while requiring 30% less calibration frames.enartificial intelligence (AI)Vision understandingscene understandingmodeling of physical attributesrecovery of physical attributepattern recognitionimplementationinteractive systemLead Topic: Digitized WorkLead Topic: Individual HealthLead Topic: Smart CityLead Topic: Visual Computing as a ServiceResearch Line: Computer vision (CV)Research Line: Human computer interaction (HCI)006conference paper