Abstract—We propose an image stitching method which can compose the images with similar overlapped regions seamlessly. Traditional minimal error boundary (MEB) based method can’t produce correct stitching result when the input images exist photometr
This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more difficult. Previous approaches have used human input or restrictions on
Automatic Panoramic Image Stitching using Invariant Features MATTHEW BROWN∗ AND DAVID G. LOWE Department of Computer Science, University of British Columbia, Vancouver, Canada mbrown@cs.ubc.ca lowe@cs.ubc.ca Received July 28, 2005; Accepted August 3
