Image Alignment and Stitching: A Tutorial

被引:859
作者
Szeliski, Richard [1 ]
机构
[1] Microsoft Res, Redmond, WA 98052 USA
来源
FOUNDATIONS AND TRENDS IN COMPUTER GRAPHICS AND VISION | 2006年 / 2卷 / 01期
关键词
D O I
10.1561/0600000009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1 / 109
页数:21
相关论文
empty
未找到相关数据