A preference for global convexity in local shape perception - PowerPoint PPT Presentation

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A preference for global convexity in local shape perception

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Michael S. Langer Heinrich H. B lthoff. Max-Planck-Institute for Biological Cybernetics ... Global shape discrimination is easy. convex concave 'face' 'mask' ... – PowerPoint PPT presentation

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Title: A preference for global convexity in local shape perception


1
A preference for global convexity
in local shape perception
  • Michael S. Langer Heinrich H. Bülthoff
  • Max-Planck-Institute for Biological
    CyberneticsTübingen, Germany

2
Shape from Shading

3
Depth-reversal ambiguity in shape-from-
shading
hill
valley
4
  • Hollow Mask Illusion (Luckiesh, 1916)

5
Hollow mask illusion is the sum of two factors
(Johnston et a. 92, Hill Bruce 94)
  • face
  • familiarity global
    convexity

6
Global shape discrimination is easy
  • convex
    concave
  • face
    mask

7
Procedure

8
Fixation Mark (1 sec.)

9
Task hill or valley ?

10
Three prior assumptions were tested
  • light source direction (Rittenhouse 1786,..)
  • viewpoint direction (Reichel Todd 1990,


    Mamassian Landy 1998)
  • global shape (Johnston et. al
    1992, Hill Bruce 1994 )

11
Example in which all three priors assumptions are
met
  • 1. light from above 2.
    viewpoint from above
  • 3. shape is convex

12
Example in which all three prior assumptions fail
  • shape is concave viewpoint
    from below
  • light from below

13
light source direction (collimated source)
  • light
  • from
  • above
  • light
  • from
  • below


14
viewing direction (Reichel and Todd 1990)
  • view from above


  • view from below


15
viewing direction (globally concave surface)
  • view from below


  • view from above


16
Design
  • three factors
  • - light direction
  • - viewpoint
  • - global shape
  • 2 x 2 x 2 within observer
  • 512 trials (64 per condition)

17
ANOVA Results (12 naïve observers)
  • Main effects
  • light direction F(1,11) 6.8, p
    .025
  • viewpoint F(1,11) 9.6, p
    .01
  • global shape F(1,11) 46.1, p lt
    .001

18
Linear Regression
  • percent correct
  • 51 10 light source direction
  • 11 viewing direction
  • 13 global shape
  • (Each factor had value of 1 or 1)

19
Examples

87 (best)
15 (worst)
20
Conclusion
  • The prior for global convexity is used in local
    shape from shading.
  • The global convexity prior had roughly the same
    strength as the light-from-above and
    viewpoint-from-above priors.

21
Open questions
  • What are the spatial scales over which shading
    information is analyzed?
  • How does the prior on global shape depend on
    visual angle?
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