The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1715–1722, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1715-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1715–1722, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1715-2019

  05 Jun 2019

05 Jun 2019

AUTOMATIC CAMERA SYSTEM CALIBRATION WITH A CHESSBOARD ENABLING FULL IMAGE COVERAGE

J. Wohlfeil, D. Grießbach, I. Ernst, D. Baumbach, and D. Dahlke J. Wohlfeil et al.
  • Institute of Optical Sensor Systems, German Aerospace Center, Rutherfordstr. 2, 12489 Berlin, Germany

Keywords: Camera Calibration, Chessboard, Stereo Vision, Optical Navigation, Stereo Camera, Multi-Camera

Abstract. Geometric camera calibration is a mandatory prerequisite for many applications in computer vision and photogrammetry. Especially when requiring an accurate camera model the effort for calibration can increase dramatically. For the calibration of the stereo-camera used for optical navigation a new chessboard based approach is presented. It is derived from different parts of existing approaches which, taken separately, are not able to meet the requirements. Moreover, the approach adds one novel main feature: It is able to detect all visible chessboard fields with the help of one or more fiducial markers simply sticked on a chessboard (AprilTags). This allows a robust detection of one or more chessboards in a scene, even from extreme perspectives. Except for the acquisition of the calibration images the presented approach enables a fully automatic calibration. Together with the parameters of the interior and relative orientation the full covariance matrix of all model parameters is calculated and provided, allowing a consistent error propagation in the whole processing chain of the imaging system. Even though the main use case for the approach is a stereo camera system it can be used for a multi-camera system with any number of cameras mounted on a rigid frame.