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Image Alignment and Stitching: A Tutorial
Foundations and Trends® in
Computer Graphics and Vision
Volume 2 Issue 1
DOI: 10.1561/0600000009
Image Alignment and Stitching: A Tutorial
Richard Szeliski
Microsoft Research, USA, szeliski@microsoft.com
Abstract
This tutorial reviews image alignment and image stitching algorithms. Image alignment algorithms can discover the correspondence
relationships among images with varying degrees of overlap. They are ideally suited for applications such as video stabilization,
summarization, and the creation of panoramic mosaics. Image stitching algorithms take the alignment estimates produced by
such registration algorithms and blend the images in a seamless 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 tutorial 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 ends with a discussion of open research
problems in the area.
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