2×2 Panoramic camera array stitching using edge matching
Xiaodong Huang, Shervin Shirmohammadi, Abdulsalam Yassine · 2014
In this paper, a novel panorama stitching method for Ultra HD images using edge matching is proposed. Our method, which replaces the popular Scale-invariant Feature Transform (SIFT) matching, provides effective solution for panorama stitching involving non-coplanar scenes without using the method of dynamic seam finding to avoid misalignments. We utilize the algorithm of As-Rigid-As-Possible (ARAP) to minimize misalignments by correcting the images during the stitching step. Furthermore, our method can be easily used to stitch panorama videos. In this paper, we present the analysis of the proposed method and provide evidence of its effectiveness in dealing with misalignments through implementation on images captured in a 2×2 panoramic array setting.