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.

Image Alignment and Stitching.pdf

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