Introduction

By working with a group of images as a whole set instead of as a bunch of separate and independent images, Computer Vision algorithms can achieve way more fabulous results. If correlations between images are known (it may be a sequence of frames in a video file of some object shot from different perspectives), we can exploit them. This chapter uses algorithms that take into account relations between frames. The algorithms are background subtraction, images stitching, video stabilization, superrelosution, and constructing HDR images.