Abstract
Traditional epipolar rectification algorithms require stereo images captured with binocular parallel stereo camera, and the requirements for the image acquisition system are high. In this paper an epipolar rectification algorithm for uncalibrated images which are not from binocular camera is proposed. Firstly, Minimum Enclosing Rectangle (MER) is calculated according to matching points, which are from Scale Invariant Feature Transform (SIFT); then image pairs adjustment is implemented with four vertex points parameters of MER; lastly, combining Hartley algorithm with Francesco algorithm epipolar rectification is realized. The experimental results show that the proposed algorithm is invariant to translation, rotation and scaling transformation to a certain extent.
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Acknowledgments
This work is supported in part by the National Natural Science Foundation of China (Grant No: 50874001) and National High-tech R&D Program (863 Program) of China under grant No. 2006AA10Z247.
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Wang, P., Chen, P., Zhang, D., Wang, M. (2012). An Epipolar Rectification Algorithm for Uncalibrated Images. In: Hou, Z. (eds) Measuring Technology and Mechatronics Automation in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 135. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2185-6_8
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DOI: https://doi.org/10.1007/978-1-4614-2185-6_8
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