• DocumentCode
    2759612
  • Title

    Mosaics of scenes with moving objects

  • Author

    Davis, James

  • Author_Institution
    Dept. of Comput. Sci., Stanford Univ., CA, USA
  • fYear
    1998
  • fDate
    23-25 Jun 1998
  • Firstpage
    354
  • Lastpage
    360
  • Abstract
    Image mosaics are useful for a variety of tasks in vision and computer graphics. A particularly convenient way to generate mosaics is by `stitching´ together many ordinary photographs. Existing algorithms focus on capturing static scenes. This paper presents a complete system for creating visually pleasing mosaics in the presence of moving objects. There are three primary contributions. The first component of our system is a registration method that remains unbiased by movement-the Mellin transform is extended to register images related by a projective transform. Second an efficient method for finding a globally consistent registration of all images is developed. By solving a linear system of equations, derived from many pairwise registration matrices, we find an optimal global registration. Lastly, a new method of compositing images is presented. Blurred areas due to moving objects are avoided by segmenting the mosaic into disjoint regions and sampling pixels in each region from a single source image
  • Keywords
    computer graphics; computer vision; matrix algebra; Mellin transform; computer graphics; computer vision; moving objects; optimal global registration; projective transform; registration method; scenes mosaics; static scenes; visually pleasing mosaics; Cameras; Computer graphics; Computer science; Equations; Image sampling; Image segmentation; Layout; Linear systems; Pixel; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
  • Conference_Location
    Santa Barbara, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-8497-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1998.698630
  • Filename
    698630