A low-complexity image stitching algorithm suitable for embedded systems

In this paper we propose a low-complexity image stitching algorithm. By using the developed algorithm, users can automatically merge images into a panoramic image, even these source images have rotation and zooming actions. We adopt feature-base estimation to get the relation between images and employ down-sampling to reduce computing complexity. We also apply a copy-paste and texture-base scheme to remove the clear seam in the result image. Realized in an embedded system with 512MHz RISC, the proposed algorithm could achieve a XVGA image stitching in 0.6 second.