Panoramic Image Stitching
نویسندگان
چکیده
Faculty of Computer Science by Kai Wang Pengbo Li Panoramic image stitching is an active research topic and lots of methods was developed to achieve a nice stitched panorama under different limitation of raw pictures. For example, pictures need to be aligned properly, pictures need to has same exposure level, or pictures need to be horizontal or vertical in space. In this project, we followed the pipeline proposed by Matthew Brown and David G. Lowe[1] to implement construct a feature based method using SIFT feature, which is much less sensitive to rotation and scale. We will also implement two methods of blending methods: Laplacian pyramid method and Poisson blending to deal with the seam problem due to exposure difference. Compared with the method without blending technique, blending stitching images apparently shows better performance on the pictures with different exposure level than version without blending. Last but not least, we will provide a set of pictures with various transform, various exposure level, and try to create a nice panoramic image.
منابع مشابه
Panoramic Image Stitching
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...
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