• DocumentCode
    3360116
  • Title

    The research of the match of corresponding points in multi-view and the realization by evolutionary programming

  • Author

    Junjun, Pan ; Yanning, Zhang ; Hong, Zhou ; Yuxia, Hou ; Lihua, Long ; Lan, Yao

  • Author_Institution
    Sch. of Comput., Northwest Poly-Technology Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    2202
  • Abstract
    Present a corresponding point match algorithm based on "the regulation of the minimum summation of euclid distance". This algorithm gives the regulation that makes the corresponding points match to the highest accuracy according to the condition that the relative position is almost fixed for corresponding points in adjoining area if two images are acquired by means of multi-view. This match algorithm is realized by evolutionary programming. By experiment on PC, the result demonstrates that it can match the most corresponding points in low time cost.
  • Keywords
    computer vision; evolutionary computation; mathematical programming; euclid distance; evolutionary programming; point match algorithm; Calibration; Character recognition; Computer vision; Genetic programming; Image recognition; Mathematical model; Mathematics; Stereo vision; User-generated content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1442215
  • Filename
    1442215