Abstract
Image rectification is a method to apply projective transformation to image pair which can ensure the epipolar lines in one horizontal line. There is only horizontal disparity in two images and the matching speed can be improved in this situation. A simple rectification method is described in this paper. It takes the element in the fundamental matrix and epipole as initial value and uses PSO to calculate eight optimal points according with rectification rule by RANSAC robust estimation method. Then, the practical and optimal projective transformation matrixes are confirmed. Epipolar line rectification experiments based on synthetical image and real image show the validity of the algorithm.
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Gao, H., Niu, B., Li, B., Yu, Y. (2010). An Improved Image Rectification Algorithm Based on Particle Swarm Optimization. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_73
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DOI: https://doi.org/10.1007/978-3-642-14922-1_73
Publisher Name: Springer, Berlin, Heidelberg
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