An Efficient Rectification Algorithm for Multi-View Images in Parallel Camera Array
Yun-Suk Kang, Cheon Lee, Yo‐Sung Ho · 2008
In this paper, we present an efficient rectification algorithm for multi-view images captured by a parallel camera array. Since conventional stereo image rectification methods did not consider three or more cameras simultaneously, we propose an algorithm to rectify multi-view images at the same time. We calculate the common baseline considering all camera positions and apply the rectifying transformation defined by camera rotations and camera intrinsic parameters. From our experiments, we have found that the proposed method rectifies multi-view images efficiently. Rectified images have uniform horizontal disparities and no vertical mismatches between adjacent views.