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Efficient pose selection for interactive camera calibration

: Rojtberg, Pavel; Kuijper, Arjan


Broll, Wolfgang (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017. Adjunct Proceedings : Nantes, France, 9-13 October 2017
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2017
ISBN: 978-0-7695-6327-5
ISBN: 978-1-5386-1454-9
International Symposium on Mixed and Augmented Reality (ISMAR) <16, 2017, Nantes>
Conference Paper
Fraunhofer IGD ()
artificial intelligence (AI); Vision understanding; scene understanding; modeling of physical attributes; recovery of physical attribute; pattern recognition; implementation; interactive system; Guiding Theme: Digitized Work; Guiding Theme: Individual Health; Guiding Theme: Smart City; Guiding Theme: Visual Computing as a Service; Research Area: Computer vision (CV); Research Area: Human computer interaction (HCI)

The 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.