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Local Surface Shape Estimation of 3-D Textured Surfaces using Gaussian Markov Random Fields and Stereo Windows

Published: 01 October 1993 Publication History

Abstract

The problem of extracting the local shape information of a 3-D texture surface from a single 2-D image by tracking the perceived systematic deformations the texture undergoes by virtue of being present on a 3-D surface and by virtue of being imaged is examined. The surfaces of interest are planar and developable surfaces. The textured objects are viewed as originating by laying a rubber planar sheet with a homogeneous parent texture on it onto the objects. The homogeneous planar parent texture is modeled by a stationary Gaussian Markov random field (GMRF). A probability distribution function for the texture data obtained by projecting the planar parent texture under a linear camera model is derived, which is an explicit function of the parent GMRF parameters, the surface shape parameters. and the camera geometry. The surface shape parameter estimation is posed as a maximum likelihood estimation problem. A stereo-windows concept is introduced to obtain a unique and consistent parent texture from the image data that, under appropriate transformations, yields the observed texture in the image. The theory is substantiated by experiments on synthesized as well as real images of textured surfaces.

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Cited By

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  • (2018)The Visual Looming Navigation CueComputer Vision and Image Understanding10.1006/cviu.2000.086279:3(331-363)Online publication date: 31-Dec-2018
  • (2000)The Analysis and Recognition of Real-World Textures in Three DimensionsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.85700522:5(491-503)Online publication date: 1-May-2000

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Information

Published In

cover image IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence  Volume 15, Issue 10
October 1993
129 pages

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 October 1993

Author Tags

  1. 3-D textured surfaces
  2. Gaussian Markov random fields
  3. MLE
  4. Markov processes
  5. camera geometry
  6. developable surfaces
  7. local surface shape estimation
  8. maximum likelihood estimation
  9. maximum likelihood estimation problem
  10. perceived systematic deformations
  11. planar surfaces
  12. probability distribution function
  13. single 2-D image
  14. stationary Gaussian Markov random field
  15. stereo image processing
  16. stereo windows
  17. surface shape parameter estimation

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View all
  • (2018)The Visual Looming Navigation CueComputer Vision and Image Understanding10.1006/cviu.2000.086279:3(331-363)Online publication date: 31-Dec-2018
  • (2000)The Analysis and Recognition of Real-World Textures in Three DimensionsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.85700522:5(491-503)Online publication date: 1-May-2000

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