This tutorial reviews image alignment and image stitching algorithms. Image align-

ment (registration) algorithms can discover the large-scale (parametric) correspon-

dence relationships among images with varying degrees of overlap. They are ideally

suited for applications such as video stabilization, summarization, and the creation

of large-scale panoramic photographs. Image stitching algorithms take the alignment

estimates produced by such registration algorithms and blend the images in a seam-

less manner, taking care to deal with potential problems such as blurring or ghosting

caused by parallax and scene movement as well as varying image exposures. This tu-

torial reviews the basic motion models underlying alignment and stitching algorithms,

describes effective direct (pixel-based) and feature-based alignment algorithms, and

describes blending algorithms used to produce seamless mosaics. It closes with a dis-

cussion of open research problems in the area.