Automatic Panoramic Image Stitching using Invariant …

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Automatic Panoramic Image Stitching using Invariant FeaturesMatthew Brown and David G. of Computer Science,University of British Columbia,Vancouver, paper concerns the problem of fully automatedpanoramic Image Stitching . Though the 1D problem (singleaxis of rotation) is well studied, 2D or multi-row Stitching ismore difficult. Previous approaches have used human inputor restrictions on the Image sequence in order to establishmatching images. In this work, we formulate Stitching as amulti- Image matching problem, and use Invariant local fea-tures to find matches between all of the images.

Automatic Panoramic Image Stitching using Invariant Features Matthew Brown and David G. Lowe {mbrown|lowe}@cs.ubc.ca Department of Computer Science, University of British Columbia, Vancouver, Canada. Abstract This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single

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