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Shape-Dependent Gloss Correction

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Presentation on theme: "Shape-Dependent Gloss Correction"— Presentation transcript:

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 Same material, different gloss perception
Shape influences gloss perception Same material, different gloss perception

5 Corrected material, same 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 Differential rendering [Debevec 1998]
Natural illumination [Fleming et al. 2003]

9 Stimulus Images Shape 5 well-known 3D models
Size-independent statuettes 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 Cue combination function
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 blob buddha sphere

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

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

35 without gloss correction
Change shape Jump curves Vertical Physical gloss Horizontal Perceptual gloss starting point shape change without gloss correction

36 without gloss correction
Change shape Jump curves Vertical Physical gloss Horizontal Perceptual gloss starting point shape change without gloss correction

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

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

39 Examples Uncorrected

40 Examples Corrected

41 Examples Uncorrected

42 Examples Corrected

43 Examples bunny dragon blob buddha sphere

44 Examples bunny dragon blob buddha sphere Uncorrected:

45 Examples bunny dragon blob buddha 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 Distinctness-of-image gloss d
Non-linearity Low end of contrast gloss c Main experiment c and d Contrast gloss c Distinctness-of-image gloss d

49 Examples: contrast gloss
bunny dragon blob buddha sphere Uncorrected:

50 Examples: contrast gloss
bunny dragon blob buddha sphere Corrected c:

51 Examples: DOI gloss bunny dragon blob buddha sphere Uncorrected:

52 Examples: DOI gloss bunny dragon blob buddha sphere Corrected d:

53 Conclusions and Future Work
Influence of shape on gloss perception Simple model Application Gloss Correction Generalization Any shape, viewpoint, and illumination

54 Questions?

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