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Measuring the Ecological Statistics of
Figure-Ground
Charless Fowlkes, David Martin, Jitendra Malik
Is there an Ecological Justification for Figure-Ground Cues?
• Size
• Surroundedness
• Convexity
• Lower-Region
• Symmetry
• …
Are figural regions in the natural world really more convex?
Figure-Ground Labeling
200 images each labeled by 2 subjects
Consistency – 88% agreement
Agreement doesn’t differ with edge length
Local Figural Assignment Cues
• Size and Surroundedness [Rubin 1915]
• Convexity [Metzger,Kanizsa]
• Lower-Region [Vecera, Vogel & Woodman 2002]
Size(p) = log(AF / AG)
Size :
GFp
Convexity(p) = log(CF / CG)
Convexity:
Convexity:
Aboveness(p) = cos()
Aboveness:
center of mass
Empirical Frequencies of Size, Convexity and Aboveness.
1200 sample points per image
Local Boundary Detection in Natural Images: Matching Human
and Machine Performance
Dave Martin, Charless Fowlkes, Laura Walker, Jitendra Malik
Boundary Detection
ImageBoundary Cues
Model
Pb
Challenges: texture cue, cue combination Goal: learn the posterior probability of a boundary Pb(x,y,) from local information only
Cue CombinationBrightness
Color
Texture
Non-Boundaries Boundaries
T
B
C
Two Decades of Boundary
Detection
Local Boundary Detection Solved?
Clearly top-down, high level knowledge is utilized by humans
Test Humans on Local Patches
Test Humans on Local Patches
Test Humans on Local Patches
Did you see a boundary running through the center
of the patch? [Y/N]
radius: 9, 18, 36humans: 78, 83, 85
F-Measure at r = 9Humans: 78
Machines: 78