• DocumentCode
    1590746
  • Title

    New vision location algorithm based on one straight line and two points features

  • Author

    Lijuan, Qin ; Yulan, Hu ; Rujing, Yang

  • Author_Institution
    School of Information Science and Engineering, Shenyang Ligong University, Liaoning, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Generally, we use point, line and conic features to locate object. At present, most pose estimation method use one kind of feature to locate object, but not combine different features to locate. In some circumstances, the numbers of one kind of feature maybe not enough to locate, but there exit different features in natural surroundings. In this case, using different features to locate is convenient. Thus, we propose this new method which combines different features of one line and two points to locate object. The numbers of feature to locate is three, which is the minimum configuration. Two random points can form one line. When the line formed by two points is parallel to the other line, we can compute the rotation and translation matrix. This method we propose can obtain the closed-form solution of 3D pose and it is simple. Therefore, it has good real-time characteristic in locating.
  • Keywords
    location; monocular vision; point; straight line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321695