Optics and Precision Engineering, Volume. 18, Issue 2, 464(2010)

Stereo vision matching for posture recognition of manipulator

GAO Chun-fu1,*... TANG Ke-hong2, HU Qing-yu2, CHENG Li-li2 and ZHAO Ding-xuan2 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    A region-margin line segment stereo matching algorithm is proposed to improve the posture recognition precision of a manipulator. The color characteristics of the region and the geometric characteristics of margin line segment included in the image are used to realize an integrate matching,among which the former contains the color and margin line segment,and the latter contains lengths,directions and angles.By making full use of the information of color included in the image ,especially the gradient direction information, this algorithm makes the line segment matching depend on the all information of the image area,not only on its geometric characteristics, such as lengths,directions and angles. Therefore,the criterion of the matching is more accurate than those of traditional algorithms.A posture recognition experiment for a manipulator is undertaken,obtained results validate that the algorithm could recognize the posture of manipulator in higher accuracy in a complicated background, and the relative error reaches 1.7%,which meets the requirements of the attitude recognition of manipulators for the precision.

    Tools

    Get Citation

    Copy Citation Text

    GAO Chun-fu, TANG Ke-hong, HU Qing-yu, CHENG Li-li, ZHAO Ding-xuan. Stereo vision matching for posture recognition of manipulator[J]. Optics and Precision Engineering, 2010, 18(2): 464

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 24, 2008

    Accepted: --

    Published Online: Aug. 31, 2010

    The Author Email: Chun-fu GAO (gao6865@163.com)

    DOI:

    CSTR:32186.14.

    Topics