Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (6): 765-768.DOI: 10.12068/j.issn.1005-3026.2015.06.002

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Position Estimation for Single-Lens Stereovision System Using Prism

CUI Xiao-yu, ZHAO Yue, FAN Qun-an, WEI Yong-tao   

  1. Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110819, China.
  • Received:2014-04-15 Revised:2014-04-15 Online:2015-06-15 Published:2015-06-11
  • Contact: CUI Xiao-yu
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Abstract: In order to improve the theoretical model of prism based single-lens stereovision system, and enhance the precision of three-dimensional reconstruction, a parameter simplifying method for prism as well as a position estimation method that based on geometrical optics were proposed. First, a perspective projection model for prism based single-lens stereovision system was derived. Then, the parameters of prism which could express its position were decreased to six by making use of rotational vector and the relationship between points. At last, these six parameters could be solved out as a result of nonlinear optimization, and an accurate position of prism could be obtained. Experimental results indicated that the average reprojection error of proposed method was less than 0.5 pixel, the average error for three dimensional reconstruction was 2.22mm. This method could be used for calculating the epipolar geometry of stereo matching. It could increase the precision of three-dimensional reconstruction up to 2~3 times.

Key words: computer vision, position estimation, geometrical optics, prism, camera calibration

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