IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Real-Time Correlation-Based Stereo Vision with Reduced Border Errors
International Journal of Computer Vision
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
MFC: a modular line camera for 3D world modulling
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Plane-Based Calibration for Linear Cameras
International Journal of Computer Vision
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This paper considers the application of capturing urban terrain by an airborne pushbroom camera (e.g. High Resolution Stereo Camera). The resulting images as well as disparity ranges are expected to be huge. A slightly non-linear flight path and small orientation changes are anticipated, which results in curved epipolar lines. These images cannot be geometrically corrected for matching purposes such that epipolar lines are exactly straight and parallel to each other. The proposed novel processing solution explicitely calculates epipolar lines for reducing the disparity search range to a minimum. This is a necessary prerequisite for using an accurate, but memory intensive semi global stereo matching method that is based on pixelwise matching. It is shown that the proposed approach performs accurate matching of urban terrain and is efficient on huge images.