Transcription of Image Alignment and Stitching: A Tutorial
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Image Alignment and Stitching: A Tutorial
Image Alignment and Stitching: A Tutorial1 Richard SzeliskiLast updated, December 10, 2006 Technical ReportMSR-TR-2004-92 This Tutorial reviews Image Alignment and Image stitching algorithms. Image align-ment algorithms can discover the correspondence relationships among images withvarying degrees of overlap. They are ideally suited for applications such as videostabilization, summarization, and the creation of panoramic mosaics. Image stitch-ing algorithms take the Alignment estimates produced by such registration algorithmsand blend the images in a seamless manner, taking care to dealwith potential prob-lems such as blurring or ghosting caused by parallax and scene movement as well asvarying Image exposures. This Tutorial reviews the basic motion models underlyingalignment and stitching algorithms, describes effective direct (pixel-based) and fea-ture-based Alignment algorithms, and describes blending algorithms used to produceseamless mosaics.
Dec 10, 2006 · al. 1998, McLauchlan and Jaenicke 2002, Brown and Lowe 2003). Feature-based approaches have the advantage of being more robust against scene movement and are potentially faster, if imple-mented the right way. ... Note that if we work with images in a pyramid, we need to halve the Svalue after each decimation step rather than recomputing it from ...
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