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. It closes with a discussion of open research problems in the ResearchMicrosoft CorporationOne Microsoft WayRedmond, WA 98052 shorter version of this report appeared in Paragios, al.
Dec 10, 2006 · Table 1: Hierarchy of 2D coordinate transformations. The 2 ×3 matrices are extended with a third [0T 1] row to form a full 3 ×3 matrix for homogeneous coordinate transformations. Hierarchy of 2D transformations The preceding set of transformations are illustrated in Fig-ure 2 and summarized in Table 1.
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