• DocumentCode
    2462639
  • Title

    Surface-from-Gradients with Incomplete Data for Single View Modeling

  • Author

    Ng, Heung-Sun ; Wu, Tai-Pang ; Tang, Chi-Keung

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Hong Kong
  • fYear
    2007
  • fDate
    14-21 Oct. 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Surface gradients are useful to surface reconstruction in single view modeling, shape-from-shading, and photometric stereo. Previous algorithms minimize a complex, nonlinear energy functional, or require dense surface gradients to perform integration to generate 3D locations, or require user-input heights to constrain the solution space, or produce severe distortion and smooth out surface details. Most single-view algorithms output a Monge patch (height-field), which may introduce further surface distortion along object silhouettes and surface orientation discontinuities. Our proposed algorithm operates on a single view of complete or incomplete data. The data can be gradients without 3D locations, or 3D locations without gradients. The output surface, which is not necessarily a height-field, preserves salient depth and orientation discontinuities. Experimental comparisons on both simple and complex data show that our method produces better surfaces with significantly less distortion and more details preserved. The implementation of our closed-form solution is very straightforward.
  • Keywords
    gradient methods; image reconstruction; stereo image processing; 3D locations; closed-form solution; dense surface gradients; incomplete data; nonlinear energy functional; object silhouettes; photometric stereo; shape-from-shading; single view modeling; surface distortion; surface orientation discontinuities; surface reconstruction; surface-from-gradients; Closed-form solution; Computer vision; Graphics; Image reconstruction; Nonlinear distortion; Numerical stability; Photometry; Stereo vision; Surface fitting; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4244-1630-1
  • Electronic_ISBN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2007.4409103
  • Filename
    4409103