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Surface Fairing Segmentation Meeting 07

This meeting covers advanced methods in surface fairing and segmentation with a focus on multivariate smoothing. We introduce techniques for noise reduction using Gaussian noise, alongside prediction methodologies for signal processing. The discussion includes a 2D implementation of Taubin's smoothing algorithm and explores its applications in surface parameterization and flattening. Highlights of the experiments include applying independent and identically distributed (iid) random noise after multiple iterations, as well as radial projection techniques to enhance surface quality.

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Surface Fairing Segmentation Meeting 07

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Presentation Transcript

  1. Surface Fairing Segmentation Meeting 07

  2. Smoothing manifold (surface)

  3. Introduction to multivariate Smoothing.

  4. Typo

  5. Signal

  6. Gaussian noise added

  7. Prediction

  8. Signal Prediction

  9. 2D version of Taubin’s smoothing

  10. Uh… why?

  11. Application to Surface Parameterization/ Flattening

  12. After 50 iterations

  13. Adding iid random noise. I was experimenting. 

  14. After 50 iterations

  15. Simple radial projection – another experiment.

  16. radial projection after smoothing

  17. Smoothing  radial projection  smoothing  radial projection

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