Volume 9 Issue 3
May  2016
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LI Qing-yu, ZHAO Yan, WANG Shi-gang. Method of vertical parallax reduction combined with Levenberg-Marquardt algorithm[J]. Chinese Optics, 2016, 9(3): 312-319. doi: 10.3788/CO.20160903.0312
Citation: LI Qing-yu, ZHAO Yan, WANG Shi-gang. Method of vertical parallax reduction combined with Levenberg-Marquardt algorithm[J]. Chinese Optics, 2016, 9(3): 312-319. doi: 10.3788/CO.20160903.0312

Method of vertical parallax reduction combined with Levenberg-Marquardt algorithm

doi: 10.3788/CO.20160903.0312
Funds:

Supported by National Natural Science Foundation of China No.61271315

  • Received Date: 25 Jan 2016
  • Rev Recd Date: 21 Feb 2016
  • Publish Date: 25 Jan 2016
  • The existence of vertical parallax is the main factor of affecting the viewing comfort of stereo video. In order to reduce the vertical parallax without affecting the horizontal parallax, Levenberg-Marquardt(L-M) algorithm which is the nonlinear algorithm, is introduced in this paper to achieve the accuracy of the transformation matrix. Firstly, the SIFT algorithm, which is invariant to scaling, rotation and affine transformation, is used to detect the feature matching points from the binocular images. Then according to the coordinate position of matching points, the transformation matrix, which can reduce the vertical parallax, is calculated using Levenberg-Marquardt algorithm. Finally, the transformation matrix is applied to target image to calculate the new coordinate position of each pixel from the view images. The experimental results show that compared with the method that can reduce the vertical parallax using linear algorithm to calculate two-dimensional projective transformation, the proposed method using nonlinear algorithm improves the vertical parallax reduction from about 0.029 1 to 0.323 2 pixel and the effect of horizontal parallax is reduced from about 0.118 7 to 1.139 1 pixel. Therefore, the proposed method can optimize the vertical parallax reduction.

     

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