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The Trilateral Filter for High Contrast Images and Meshes

The Trilateral Filter for High Contrast Images and Meshes. Prasun Choudhury and Jack Tumblin Sp eaker: Di jiantao Feb 28,2008. About the author---Prasun Choudhury. Current: Computer Scientist at Adobe Systems Inc. Past:

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The Trilateral Filter for High Contrast Images and Meshes

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  1. The Trilateral Filter for High Contrast Images and Meshes Prasun Choudhury and Jack Tumblin Speaker: Di jiantao Feb 28,2008

  2. About the author---Prasun Choudhury • Current: • Computer Scientist at Adobe Systems Inc. • Past: • Computer Graphics Research Engineer at Nokia Research Center. • Staff software Engineer at Intel Corp. • Simulation Software Engineer at Immersion Corp. • Education: • Northwestern University • Indian Institute of Science • Jadavpur University • RKM Narendrapur

  3. About the author---Jack Tumblin • Associate Professor, EECS Department, Computer Science, Northwestern University. • Research interests: • Computational Photography & Illumination. • Computer Vision and Interactive Computer Graphics. • High Dynamic Range (HDR) Images and Image Processing. • Digital Archives of Visual Appearance for Museum Collections. • Human Visual Perception, Psychophysics, and Physiology.

  4. * = Filter methods: Gaussian Filter

  5. * = Filter methods: Bilateral Filter Filter methods: Bilateral Filter

  6. Gaussian, Bilateral and Trilateral Filter Windows • The changes of Trilateral filter: • Tilting. • S measures its closeness to the plane through I(x). • Adaptive neighborhood.

  7. Step 1 of Trilateral Filter for Image • Bilateral smooth gradients

  8. Step2 of Trilateral Filter for Image • Trilateral smooth image • Compute approximate value • Compute • Filter

  9. Results

  10. Results

  11. Results

  12. Application 1: Contrast Reduction • Contrast reduction method based on edge-preserving filters. • Base is compressible and Details are incompressible. • Compress:

  13. Results of Contrast Reduction

  14. Results of Contrast Reduction

  15. Results of Contrast Reduction

  16. Application 2: Mesh Smoothing • A two-step process: • Trilateral normal filtering. • Bilateral smooth vertex normal. • Trilateral vertex filtering.

  17. Signs Definition ---vertex position ---vertex normal ---mesh face ---face normal ---face center point ---bilaterally smoothed vertex normal ---tangent plane pass through

  18. Trilateral normal filter

  19. Trilateral Vertex Filter is the projection of on the plane

  20. Results of Mesh Smoothing Original Model Smoothed Model Noisy Model

  21. Results of Mesh Smoothing

  22. Results of Mesh Smoothing

  23. Thank you!

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