Image alignment and stitching: A tutorial Export

@article{Szeliski2006, 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.}, author = {Szeliski, Richard}, citeulike-article-id = {2544852}, journal = {Foundations and Trends in Computer Graphics and Computer Vision}, keywords = {panorama, review, tutorial}, month = {December}, number = {1}, pages = {1--104}, posted-at = {2008-03-17 09:41:22}, priority = {5}, title = {Image alignment and stitching: A tutorial}, volume = {2}, year = {2006} }

TY - JOUR ID - Szeliski2006 L3 - citeulike-article-id:2544852 N2 - 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. IS - 1 JF - Foundations and Trends in Computer Graphics and Computer Vision EP - 104 TI - Image alignment and stitching: A tutorial VL - 2 SP - 1 KW - panorama KW - review KW - tutorial AU - Szeliski, Richard PY - 2006/12// ER -