The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Image Alignment and Stitching: A Tutorial
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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Action Recognition with Improved Trajectories
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A Unified Framework for Street-View Panorama Stitching
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Multi-spectral SIFT for scene category recognition
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Metadata
- Authors
- Szeliski, R.
- Venue
- Foundations and Trends in Computer Graphics and Vision
- Publisher
- Emerald
- Published
- 2007-01-02
- Volume
- 2
- Issue
- 1
- Pages
- 1-104
- ISSN
- 1572-2740 (ISSN-L)
- 1572-2759
- OpenAlex
- W2165949425
- Cited by
- 1,593
- References
- 17
- FWCI
- 102.11
- Type
- journal article
- Language
- en
- Open access
- closed
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