Robust Surface Reconstruction from Gradient Field Using the L1 Norm

@article{Fu2007RobustSR,
  title={Robust Surface Reconstruction from Gradient Field Using the L1 Norm},
  author={Zhouyu Fu and Antonio Robles-Kelly and Fangfang Lu},
  journal={9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)},
  year={2007},
  pages={203-209}
}
In this paper, we propose a robust surface reconstruction algorithm from the gradient field by minimizing the absolute error between the input and estimated gradient field from the reconstructed surface. The resulting L1 norm based cost function can then be efficiently solved via linear programming. Compared to conventional L2 estimation algorithms, the proposed approach is more robust to noise corruption and the influence of outliers, while still maintaining low computational cost and global… CONTINUE READING
Highly Cited
This paper has 19 citations. REVIEW CITATIONS
13 Citations
14 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 14 references

A viscosity solution approach to shape-from-shading

  • E. Rouy, A. Tourin
  • SIAM J. Number. Anal.,
  • 1992
1 Excerpt

Shape From Shading

  • B.K.P. Horn, M. Brooks
  • 1989
2 Excerpts

A method for enforcing integrability in shape from shading algorithms

  • M. Brooks.
  • IEEE Trans . on Pattern Analysis and Machine…
  • 1988

Similar Papers

Loading similar papers…