Video to Panorama

This algorithm runs through a video file, or a set of images, and stitches them together to form a single image. It can be used for scanning in large documents where the resolution from a single photo may not be sufficient. In this work, we formulate stitching as a multi-image matching problem, and use invariant local features to find matches between all of the images. Because of this our method is insensitive to the ordering, orientation, scale and illumination of the input images. It is also insensitive to noise images that are not part of a panorama, and can recognize multiple panoramas in an unordered image dataset. In addition to providing more detail by introducing gain compensation and automatic straightening steps

Video to Panorama Working

Click here to access the GitHub repository.