ALGORITHM FOR STITCHING OF VIDEO SEQUENCES

摘要

A combination of two or more adjacent images - stitched together - is called a panoramic image. Nowadays panoramic images are becoming popular due to its increased field of view (often 360). In this paper, we propose a method for stitching two video sequences based on image stitching. The important steps in image stitching are the image matching and image transformation. We use Scale Invariant Feature Transform (SIFT) for image matching. The image transformation is done based on the difference in the image planes. For stitching two videos, these two steps can be repeated for each frame. But this consumes more time. Instead, we reuse the stitching information of the previous frames to speed up the process. The re-usage mechanism is valid only as long as the two video cameras have no relative movements. A method has been developed to detect the relative movement between the cameras and the recalculation is done automatically. Secondly, we propose an algorithm for constructing the rectilinear panoramic image of long objects(like train), from video of such objects.