Abstract
In this paper, we propose a fast method for panoramic image mosaicing using one-dimensional (1D) flow estimation. First, the 1D flow vectors are estimated at each pixel in x and y directions. Then the global affine parameters are estimated from 1D flows using the iterative least-squares method. The accurate parameters are obtained by iteratively repeated optimization in x and y directions. We have implemented the proposed method on a conventional low-cost PC. The experimental results show that the image mosaicing is possible in near-real time.
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