Minimum error seam-based efficient panorama video stitching method robust to parallax

From stitching video sequences point of view, an existing image stitching technique may have limitations on object movement or loss in the stitched video sequence due to the different parallax of the individual video sequences. Also, an existing image stitching technique have higher computational complexity and have matching accuracy limitations in obtaining descriptors for many factors. Therefore, this paper proposes an edge-based weight minimum error seam method in order to overcome the limitations caused by parallax and video stitching and trigonometric ratio-based image match algorithm in order to reduce computational complexity and insensitivity to rotation, illumination, image size, or resolution.