Surface reconstruction from sparse fringe contours Metadata

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Title

  • Main Title Surface reconstruction from sparse fringe contours

Creator

  • Author: Cong, G.
    Creator Type: Personal
  • Author: Parvin, B.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy. Office of Advanced Scientific Computing Research.
    Contributor Type: Organization

Publisher

  • Name: Lawrence Berkeley National Laboratory
    Place of Publication: California
    Additional Info: Lawrence Berkeley National Lab., CA (United States)

Date

  • Creation: 1998-08-10

Language

  • English

Description

  • Content Description: A new approach for reconstruction of 3D surfaces from 2D cross-sectional contours is presented. By using the so-called ''Equal Importance Criterion,'' we reconstruct the surface based on the assumption that every point in the region contributes equally to the surface reconstruction process. In this context, the problem is formulated in terms of a partial differential equation (PDE), and we show that the solution for dense contours can be efficiently derived from distance transform. In the case of sparse contours, we add a regularization term to insure smoothness in surface recovery. The proposed technique allows for surface recovery at any desired resolution. The main advantage of the proposed method is that inherent problems due to correspondence, tiling, and branching are avoided. Furthermore, the computed high resolution surface is better represented for subsequent geometric analysis. We present results on both synthetic and real data.
  • Physical Description: vp.

Subject

  • Keyword: Computer Graphics
  • Keyword: Surfaces
  • STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
  • Keyword: Data Processing
  • Keyword: Roughness
  • Keyword: Computer Calculations
  • Keyword: Partial Differential Equations
  • Keyword: Three-Dimensional Calculations
  • Keyword: Resolution

Source

  • Conference: Fourth IEEE Workshop on Applications of Computer Vision, Princeton, NJ (US), 10/1998

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Report No.: LBNL--42163
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 779708
  • Archival Resource Key: ark:/67531/metadc720328

Note

  • Display Note: OSTI as DE00779708
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