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Published in:
2010 | OriginalPaper | Chapter
Active Self-calibration of Multi-camera Systems
Authors : Marcel Brückner, Joachim Denzler
Published in: Pattern Recognition
Publisher: Springer Berlin Heidelberg
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We present a method for actively calibrating a multi-camera system consisting of pan-tilt zoom cameras. After a coarse initial calibration, we determine the probability of each relative pose using a probability distribution based on the camera images. The relative poses are optimized by rotating and zooming each camera pair in a way that significantly simplifies the problem of extracting correct point correspondences. In a final step we use active camera control, the optimized relative poses, and their probabilities to calibrate the complete multi-camera system with a minimal number of relative poses. During this process we estimate the translation scales in a camera triangle using only two of the three relative poses and no point correspondences. Quantitative experiments on real data outline the robustness and accuracy of our approach.