Panoramic Image Stitching

نویسندگان

  • Ye Ji
  • Michael S. Lew
چکیده

This thesis investigates the panoramic image stitching problem in computer vision area. The panoramic image stitching algorithms are divided into image alignment and image stitching approaches. The former can find the correspondence relationships among images with certain degrees of overlap, while the latter takes the correspondence relationships estimated by the registration algorithm and uses blending method to blend images in a seamless manner. Furthermore, image stitching algorithm is able to solve blurring or ghosting effects resulted from scene movements and exposure differences. This paper adopts the feature-based alignment algorithms and blending algorithms to produce high-quality image mosaics.

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تاریخ انتشار 2011