Alignment by Maximization of Mutual Information
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Surface Reconstruction from Unorganized 3D-Points for the DLR Hand-Guided Scanner System
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Stereo vision based reconstruction of huge urban areas from an airborne pushbroom camera (HRSC)
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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Quality of 3D modelling in means of accuracy and level of detail is based fundamentally on the parameters of the imaging system. All aspects from camera design over calibration up to processing have to be regarded and to be coordinated. The whole system chain has to be realized and controlled. The German Aerospace Center developed a new generation of line cameras called MFC (multi functional camera), which can be applied for spaceborne, airborne and terrestrial data acquisition. Its core is a CCD line module consisting of the imaging detector and the front end electronics. Any desired number of such modules can be combined to build up a custom specific imaging system. Flexible usage of different CCD sensors, USB2 interface, real time noise reduction and image compression are the main parameters of this camera. The application of an inertial measurement unit allows data acquisition with moving platforms. This paper gives an overview about the system parameters. All steps of data processing are introduced and examples of 3D models will be given. State of the art stereo matching algorithms are of prime importance, therefore the applied semi-global matching is described shortly. The quality of data products will be evaluated.