TR2005-145

An Algebraic Approach to Surface Reconstruction from Gradient Fields


    •  Agrawal, A., Chellappa, R., Raskar, R., "An Algebraic Approach to Surface Reconstruction from Gradient Fields", IEEE International Conference on Computer Vision (ICCV), October 2005, vol. 1, pp. 174-181.
      BibTeX TR2005-145 PDF
      • @inproceedings{Agrawal2005oct,
      • author = {Agrawal, A. and Chellappa, R. and Raskar, R.},
      • title = {An Algebraic Approach to Surface Reconstruction from Gradient Fields},
      • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      • year = 2005,
      • volume = 1,
      • pages = {174--181},
      • month = oct,
      • issn = {1550-5499},
      • url = {https://www.merl.com/publications/TR2005-145}
      • }
  • Research Area:

    Computer Vision

Abstract:

Several important problems in computer vision such as Shape for Shading (SFS) and Photometric Stereo (PS) require reconstructing a surface from an estimated gradient field, which is usually non-integrable, i.e. have non-zero curl. We propose a purely algebraic approach to enforce integrability in discrete domain. We first show that enforcing integrability can be formulated as solving a single linear system Ax=b over the image. In general, this system in under-determined. We show conditions under which the system can be solved and a method to get to those conditions based on graph theory. The proposed approach is non-iterative, has the important property of local error confinement and can be applied to several problems. Results on SFS and PS demonstrate the applicability of our method.

 

  • Related News & Events

    •  NEWS    ICCV 2005: 3 publications by Jay Thornton and Ramesh Raskar
      Date: October 17, 2005
      Where: IEEE International Conference on Computer Vision (ICCV)
      Research Area: Computer Vision
      Brief
      • The papers "Shadow Flow: A Recursive Method to Learn Moving Cast Shadows" by Porikli, F. and Thornton, J., "An Algebraic Approach to Surface Reconstruction from Gradient Fields" by Agrawal, A., Chellappa, R. and Raskar, R. and "Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination" by Feris, R., Raskar, R., Chen, L., Tan, K.-H. and Turk, M. were presented at the IEEE International Conference on Computer Vision (ICCV).
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