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IBMR Methods and Dimensionality: Exploring Choices of Dimensions for Rendering

This text discusses various dimensions that can be used in the Image-Based Modeling and Rendering (IBMR) process, including camera shape, position, movement, emitted light, reflected and scattered light, and texture. It also explores unconventional mappings and methods in IBMR.

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IBMR Methods and Dimensionality: Exploring Choices of Dimensions for Rendering

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  1. CS 395/495-25: Spring 2003 IBMR: Week 10A Dimensionality ofIBMR Methods Jack Tumblin jet@cs.northwestern.edu

  2. Reminders • ProjA graded: Good Job! 90,95, 110 • ProjB graded: Good! minor H confusions. • MidTerm graded: novel solutions encouraged. • ProjC due Friday, May 16: graded. • ProjD posted, due Friday May 30 too many unfinished—final is coming! • Take-Home Final Exam: Assign on Thurs June 5, due June 11

  3. Handouts today: • Levoy/Marschner Bibliography • Masselus et. al, 2003: Relighting with 4D incident Light Fields (on the website)

  4. ‘Rendering’ from a camera? Many choices of dimensions for IBMR: Camera Shape, Position, Movement, Emitted Light zc xc yc Reflected, Scattered, Light … BRDF, Texture, Scattering

  5. 1-D? Moving Line-scan Cameras Multiple-Center-of-Projection Images Rademacher, Pl, Bishop, G., SIGGRAPH '98

  6. 1-D? Moving Line-scan Cameras Rademacher, Pl, Bishop, G., Multiple-Center-of-Projection Images SIGGRAPH '98. Rademacher, Pl, Bishop, G., Multiple-Center-of-Projection Images SIGGRAPH '98.

  7. 1-D? Moving Line-scan Cameras Shum, Concentric Image Mosaics SIGGRAPH • Andrew Davidhazy, RIT: http://www.rit.edu/~andpph/

  8. 1-D? Moving Line-scan Cameras ? What other unusual mappings of position vs. 4-D ray direction might help in IBMR? • Example: [Alison Ortony] torus map: --pre-aligned epipolar geometry, --no ‘north/south’ pole problems

  9. 2-D: Image-Space Manipulations • Morphs • Beier92, • Seitz96, • LightField Morphs 2002 ... • deep pixels • PTMs, • Environment Matte...

  10. Impostors/Billboards:

  11. Polynomial Texture Maps Store just 6coefficientsat each pixel, get Interactive re-lighting... A Mostly 2-D Method Malzbender, HPlabs 2001

  12. ‘2.5’-D: Images + a little more... • 2.5D: Depth textures • Billboards/Impostors, LDIs: Multiple pixels along line-of sight... Jonathan Shade, Steven J. Gortler, Li-wei He, Richard Szeliski. SIGGRAPH 98.http://grail.cs.washington.edu/projects/ldi/Generalization: LDI Trees, SIGG99http://www.cs.unc.edu/~ibr/pubs/chang-sg99/abstract.html

  13. ‘2.5’-D: Images + a little more...

  14. 2.5D: Images plus different lighting • Relighting by linear image combos: demohttp://www.sgi.com/grafica/synth/index.html • Non-Physical Combinations: • Negative Light • Generalizations—Malzbender2001 and others, • Debevec: sphere of point sources polarizer separates diffuse, specular terms (simplified BRDF) • Factor images for BRDF samples: McCool, Ramamoorthy

  15. Debevec ‘Light Stage’

  16. Image-Based Actual Re-lighting Light the actress in Los Angeles Debevec et al., SIGG2001 Film the background in Milan, Measure incoming light, Matched LA and Milan lighting. Matte the background

  17. Williams 1998: ‘Inflated Silhouettes’ • http://graphics.stanford.edu/workshops/ibr98/#Schedule%20of%20sessions

  18. Williams 1998: ‘Inflated Silhouettes’ • Symmetric, ‘Natural’ objects • Reliable Silhouette extraction • Implicit Function for Depth: rounded, diffused, relaxation... • Refine with ? texture/shading? • manual ‘paintbox’ for depth? • Simple, quick, fairly good results...

  19. Williams 1998: ‘Inflated Silhouettes’ • http://graphics.stanford.edu/workshops/ibr98/#Schedule%20of%20sessions Not bad! Can we do better?

  20. 3-D Methods • Fans, silhouettes: • Ramesh Raskar and Michael Cohen. Image Precision Silhouette Edges. I3D 99. • Voxel Carving(Seitz, others) Seitz,1998

  21. 3D: Try image + other dimensions • Halle: Multiple Viewpoint Rendering (SIGG98)http://web.media.mit.edu/~halazar/sig98/halle98.pdf

  22. Oh et. al, 2001: 2D3D • 3D ‘Power tools’ for editing 2D imageshttp://graphics.lcs.mit.edu/ibedit/ibedit_s2001_cameraReady.pdf

  23. 4-D Methods Incoming Rays: 4D Outgoing Rays: 4D • Light fields • Illum Fields • Shape/Light field refinement

  24. 4D Methods Light-source Light Fields Accurate Light Source Acquisition and Rendering M. Goesele, X. Granier, W. Heidrich, H.-P. Seidel, SIGG2003

  25. Image-Based Synthetic Re-lighting Masselus et al., 2002

  26. Illuminant direction estimation Take pictures and move hand-held light source Basis images · W1 + · W2 + · Wn + … Create weighted sum Relit object Incident light map Masselus et al., 2002, “Free-Form Light Stage”

  27. Image-Based Shape Approximation Matusik 2002

  28. Image-Based Shape Approximation Matusik 2002 Matusik 2002

  29. Image-Based Shape Refinement Fine geometric Details  Fine Texture/Normal Details Rushmeier, 2001

  30. 5-D Methods and beyond... surface light fields,(Chen et al, SIGG02) Synthetic+ real

  31. 5-D Methods and beyond... Relighting with 4D Incident Light Fields Vincent Masselus, Pieter Peers, Philip Dutre and Yves D. Willems SIGG2003

  32. Interreflections? Rushmeier, 1996

  33. END

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