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Shape-Dependent Gloss Correction

Shape-Dependent Gloss Correction. Peter Vangorp Philip Dutr é Department of Computer Science Katholieke Universiteit Leuven. Gloss Perception. Shape influences gloss perception [Vangorp et al. 2007]. Gloss Perception. Shape influences gloss perception [Vangorp et al. 2007].

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Shape-Dependent Gloss Correction

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  1. Shape-Dependent Gloss Correction Peter Vangorp Philip Dutré Department of Computer Science Katholieke Universiteit Leuven

  2. Gloss Perception • Shape influences gloss perception[Vangorp et al. 2007]

  3. Gloss Perception • Shape influences gloss perception[Vangorp et al. 2007]

  4. Gloss Perception • Shape influences gloss perception Same material, different gloss perception

  5. Gloss Perception • Shape influences gloss perception Corrected material, same gloss perception

  6. Gloss Perception • Shape influences gloss perception • Bumpiness influences gloss perception[Ho et al. 2008]

  7. Overview • Perceptual Experiment • Statistical Analysis • Application: Gloss Correction

  8. Stimulus Images • Shape • Material • Differentialrendering[Debevec 1998] • Natural illumination[Fleming et al. 2003]

  9. Stimulus Images • Shape • 5 well-known 3D models • Size-independentstatuettes and abstract shapes S1: Blob S2: Buddha S3: Bunny S4: Dragon S5: Sphere

  10. Stimulus Images • Material • Neutral light grey plastic • Perceptually uniform gloss variations[Pellacini et al. 2000] • Adaptive to diffuse color G1 G2 G3 G4 G5

  11. Which object is more glossy?

  12. Experimental Procedure • Training session • 75 image pairs • Same shape, only gloss difference • Understanding of the term “glossy” • Main experiment • 325 image pairs (20 minutes) • Shape and gloss difference • 16 participants • No difference between experienced and others

  13. Cue Combination • Simultaneous sensory cues • Physical gloss G • Physical shape S • Cue combination function • Perceived gloss = f(G,S) • Decision variable • D = f(Gleft,Sleft) – f(Gright,Sright) + e • D> 0 if left image looks more glossy than right

  14. Decision Variable • Ideal observer Right image Left image

  15. Decision Variable • Ideal observer Right image Left image

  16. Decision Variable • Ideal observer Right image Left image

  17. Decision Variable • Ideal observer Right image Left image

  18. Decision Variable • Ideal observer Right image Left image

  19. Decision Variable • Ideal observer Right image Left image

  20. Decision Variable • Ideal observer Right image Left image

  21. Decision Variable • Ideal observer Right image Left image

  22. Decision Variable • Experimental data Right image Left image

  23. Decision Variable • Experimental data Right image Left image

  24. Cue Combination • Simplest model for perceived gloss f(G,S) • Interaction between G and S • Independent of S • Additive influence of G and S • Full interaction • Linearity of G component [Pellacini et al. 2000] • Linear • Non-linear

  25. Cue Combination • 6 models for f(G,S)

  26. Cue Combination • 6 models for f(G,S) Full Additive Independent

  27. Cue Combination • 6 models for f(G,S) Non-linear Linear

  28. Cue Combination • 6 models for f(G,S)

  29. Cue Combination • 6 models for f(G,S)

  30. Cue Combination • 6 models for f(G,S)

  31. Cue Combination • 6 models for f(G,S)

  32. Cue Combination • Non-linear, additive model for f(G,S) • Non-linear • curve • Additive • offset bunny dragon blobbuddha sphere

  33. Gloss Correction • Change shape • Jump curves • Vertical • Physical gloss • Horizontal • Perceptual gloss

  34. Gloss Correction • Change shape • Jump curves • Vertical • Physical gloss • Horizontal • Perceptual gloss starting point

  35. Gloss Correction • Change shape • Jump curves • Vertical • Physical gloss • Horizontal • Perceptual gloss starting point shape change without gloss correction

  36. Gloss Correction • Change shape • Jump curves • Vertical • Physical gloss • Horizontal • Perceptual gloss starting point shape change without gloss correction

  37. Gloss Correction • Change shape • Jump curves • Vertical • Physical gloss • Horizontal • Perceptual gloss shape change with gloss correction starting point shape change without gloss correction

  38. Gloss Correction • Change shape • Jump curves • Vertical • Physical gloss • Horizontal • Perceptual gloss shape change with gloss correction starting point shape change without gloss correction

  39. Examples Uncorrected

  40. Examples Corrected

  41. Examples Uncorrected

  42. Examples Corrected

  43. Examples bunny dragon blobbuddha sphere

  44. Examples bunny dragon blobbuddha sphere Uncorrected:

  45. Examples bunny dragon blobbuddha sphere Corrected:

  46. Non-linearity • Perceptually uniform gloss variations[Pellacini et al. 2000] • Contrast gloss c • Distinctness-of-image gloss d • Additional experiments

  47. d c and d • Material c

  48. Non-linearity • Low end of contrast gloss c Main experimentc and d Contrast gloss c Distinctness-of-image gloss d

  49. Examples: contrast gloss bunny dragon blobbuddha sphere Uncorrected:

  50. Examples: contrast gloss bunny dragon blobbuddha sphere Corrected c:

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