Feature-based panoramic image stitching
2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)
School of Engineering
In this paper, a panoramic image stitching algorithm is presented. The aim of image stitching is to detect several images of the same scene and merge them to create a larger image. This is achieved by first detecting the overlapping area of the acquired images, and then aligning and blending the seams of the images automatically to create a seamless panoramic image. The experimental testing into the size of the overlapping area, the use of different focal lengths, the use of tilting and panning, and the number of input images were carried out. The results demonstrated that our algorithm is able to stitch correctly with a minimum of 5% overlapping area, of images acquired by a wide angle lens, by a horizontal and vertical rotation, and also of a multitude of input images acquired at unfixed axis.
Alomran, M., & Chai, D. (2016). Feature-based panoramic image stitching. In 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 1-6). IEEE. Available here