• DocumentCode
    3320955
  • Title

    An Efficient Projective Rectification for Trinocular Stereo Vision

  • Author

    Qing Zhu ; Dan Luo

  • Author_Institution
    Sch. of Software Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    171
  • Lastpage
    178
  • Abstract
    In this paper, we describe an efficient projective rectification method that can be applied to trinocular rectification to improve the visual appearance of stereo vision. This method expends the matrix-based correcting homographic approach which has been proposed recently. In order to implement trinocular rectification, firstly, we obtain triplet images from the target objects through three cameras. The triplet images can be treated as two pairs and the homographies can project different image planes onto new planes. As a result, the rectification becomes the problems of seeking the common plane, and applying transformation or homography to images. Finally, through the proposed solution the trinocular rectification is accomplished. At the same time, Distortion reduction makes the rectified images more realistic.
  • Keywords
    computer vision; matrix algebra; stereo image processing; matrix-based correcting homographic; projective rectification method; rectified images; trinocular rectification; trinocular stereo vision; triplet images; visual appearance; Cameras; Educational institutions; Geometry; Jacobian matrices; Matrix decomposition; Stereo vision; Visualization; Epipolar geometry; Homography; Projective rectification; Trinocularstereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2013 International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4799-2418-9
  • Type

    conf

  • DOI
    10.1109/PDCAT.2013.34
  • Filename
    6904251