• DocumentCode
    3748544
  • Title

    The Joint Image Handbook

  • Author

    Matthew Trager;Martial Hebert;Jean Ponce

  • fYear
    2015
  • Firstpage
    909
  • Lastpage
    917
  • Abstract
    Given multiple perspective photographs, point correspondences form the "joint image", effectively a replica of three dimensional space distributed across its two-dimensional projections. This set can be characterized by multilinear equations over image coordinates, such as epipolar and trifocal constraints. We revisit in this paper the geometric and algebraic properties of the joint image, and address fundamental questions such as how many and which multilinearities are necessary and/or sufficient to determine camera geometry and/or image correspondences. The new theoretical results in this paper answer these questions in a very general setting and, in turn, are intended to serve as a "handbook" reference about multilinearities for practitioners.
  • Keywords
    "Cameras","Geometry","Manganese","Tensile stress","Conferences","Computer vision","Algebra"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2015 IEEE International Conference on
  • Electronic_ISBN
    2380-7504
  • Type

    conf

  • DOI
    10.1109/ICCV.2015.110
  • Filename
    7410467