Journal of Engineering Research

Image stitching is one of the core technologies for virtual scene construction in virtual reality technology, and there are always artifacts, ghosting, distortion and other problems in the panoramas obtained by image stitching. In order to quickly and robustly stitch images and obtain high-quality panoramas, an image stitching method based on content optimisation is proposed. The optimisation rules of local content similarity preservation and linear similarity preservation can ensure the invariance of the basic content as well as the line segments in the image before and after stitching, so as to minimise the generation of artifacts, ghosting, and distortion in the panoramia. The method is based on the framework of coarse matching + fine matching, which firstly obtains the image homography transform model according to the matching feature points to achieve the initial alignment of the image, and then performs the content optimisation according to the optimisation rules to reduce the generation of artifacts and distortion to obtain a high-quality panorama. The experimental comparison results with similar methods show that the proposed method can quickly obtain high-quality spliced images with less artefacts and distortions.

Virtual reality; Image stitching; Image alignment; Feature point detection