• DocumentCode
    496863
  • Title

    Monocular Vision Measuring System for Flight Spin Based on Geometric Feature

  • Author

    Li-heng, Wang ; Yue-zhong, Li ; Chang-xi, Li

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-19 July 2009
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    Because the projection transformation from 3-D to 2-D is irreversible, it canpsilat get the 3-D information of the unknown object from 2-D image. However, the measured object in the spin flight test is known in advance, their geometric features can be acquired before measurement. Based on the geometric features of the measured object, measuring its space information using monocular vision is the research content of this paper. It presents the measurement model of monocular vision based on pinhole camera model. A method of feature points extracting and matching based on threshold segmentation is adopted. Finally a set of experimental data of spin test is given. The experimental result showed that the position and attitude of the model plane can be retrieved from known geometric feature and 2-D image. The occlusion of feature-point and distance between feature-points has great influence on the measurement precision.
  • Keywords
    aerospace engineering; cameras; feature extraction; image matching; image segmentation; spatial variables measurement; feature point extraction; feature point matching; geometric feature; monocular vision measuring system; occlusion; pinhole camera model; projection transformation; space information measurement; spin flight test; threshold segmentation; Cameras; Coordinate measuring machines; Extraterrestrial measurements; Image segmentation; Information processing; Machine vision; Position measurement; Solid modeling; Stereo vision; Testing; geometric feature; monocular vision measurement; spin test; threshold segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3699-6
  • Type

    conf

  • DOI
    10.1109/APCIP.2009.78
  • Filename
    5197051