Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
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Many methods are available for image mosaicing most of which are not useful because they either (1)require a great deal of overlap between images, or (2) ifthey work for restricted sub-problem (translation, rotationor zooming) they would not work for the others. Whilenumerous methods exist for accurately calculating translational shifts, no method was found that could handle rotations of angles greater than 15 degrees, or for scaling. In thispaper, a new method using Zernike moments is presentedto solve for the translational registration, rotational registration (2D and 3D) and zooming all at the same time. Thismethod was tested on different sets of images with translational shifts, rotational shifts and zooming. The method isvery fast, efficient and does not require anyhuman interaction, and the results proved to be very accurate.