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Volume 19 Issue 4
Jul.  1997
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Tian Yun, Zhou Ming-Quan, Duan Fu-Qing, Wu Zhong-Ke. A Robust Segmentation Algorithm for Images with Intensity Inhomogeneity[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1401-1406. doi: 10.3724/SP.J.1146.2010.01087
Citation: Pang Chenjing, Xu Zhengwei, Wu Chengke. A 3-D RECONSTRUCTION METHOD BASED ON THE CONSTRAINT OF EPIPOLAR GEOMETRY[J]. Journal of Electronics & Information Technology, 1997, 19(4): 471-475.

A 3-D RECONSTRUCTION METHOD BASED ON THE CONSTRAINT OF EPIPOLAR GEOMETRY

  • Received Date: 1996-01-18
  • Rev Recd Date: 1996-10-29
  • Publish Date: 1997-07-19
  • This paper combines the least-square method and iteration method to get the fundamental matrix and develops a new evaluation function based on the epipolar geometry. During the iteration, with the evaluation function as a measurement, the points which bring larger noise are deleted, and the points with smaller noise are retained, thus the precision of our method is increased. The experimental results indicate the new method is precise in calculation, stable in performance and resistant to noise.
  • 吴成柯,陆心如,王林.结构光三维信息获取系统.模式识别与人工智能,1989, 2(2): 37-42.[2][2][3]徐正伟,吴成柯.基于透视投影不变性的空间平面多边形识别.电子学报,1993,21(7): 8-15.[4]Faugeras O. What can be seen in three dimensions with an uncalibrated rig? Proceedings of the 2nd European Conference on Computer Vision, Santa Margherita Ligure, Italy: May 1992, Springer-Verlag, 563-578.[5](auan L. Invariants of six points and projective reconstruction from three uncalibrated images. IEEE Trans. on Pattern Anal. Machine Intell., 1995, PAMI-17(1): 34-46.[6]Deriche R, Zhang Z, Luong Q T, Faugeras O. Robust recovery of the epipolar geometry for an[7]uncalibrated stereo rig. Proceedings of the and European Conference on Computer Vision, LNCS 800/801, Springer-Verlag, 1994, 567-576.[8]Hartley Richard I. Projective reconstruction and invariants from multiple images. IEEE Trans. on Pattern Anal. Machine Intell., 1994, PAMI-16(10): 1036-1041.
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