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Computational%20Vision

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Title: Computational%20Vision


1
Computational Vision
  • Jitendra Malik
  • University of California, Berkeley

2
What is in an image?
The input is just an array of brightness values
humans perceive structure in it.
3
From Pixels to Perception
outdoor wildlife
4
If visual processing was purely feedforward(it
isnt)
5
Boundaries of image regions defined by a number
of attributes
  • Brightness/color
  • Texture
  • Motion
  • Binocular disparity
  • Familiar configuration

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8
Grouping is hierarchical
Perceptual organization forms a tree
Image
BG
L-bird
R-bird
bush
far
grass
beak
body
beak
body
head
eye
eye
head
Two segmentations are consistent when they can
be explained by the same segmentation tree
  • A,C are refinements of B
  • A,C are mutual refinements
  • A,B,C represent the same percept

9
Humans assign a depth ordering to surfaces across
a contour
  • R1 appears in front of R2
  • R2 appears in front of R3

This can be done for images of natural scenes
10
Figure-Ground Labeling
  • - red is near blue is far

11
Figure/Ground Organization
  • A contour belongs to one of the two (but not
    both) abutting regions.

Important for the perception of shape
12
Some other aspects of perceptual organization
13
What do we see here?
14
And here?
15
Some Pictorial Cues
16
Support, Size
2
?
3
?
1
?
17
Cast Shadows
18
Shading
19
Measuring Surface Orientation
20
Binocular Stereopsis
21
Optical flow for a pilot
22
Object Category Recognition
23
Shape variation within a category
  • DArcy Thompson On Growth and Form, 1917
  • studied transformations between shapes of
    organisms

24
Attneaves Cat (1954)Line drawings convey most
of the information
25
Objects are in Scenes
26
Human stick figure from single image
Input image
Stick figure
Support masks
27
This is hard
  • Variety of poses
  • Clothing
  • Missing parts
  • Small support for parts
  • Background clutter

28
Taxonomy and Partonomy
  • Taxonomy E.g. Cats are in the order Felidae
    which in turn is in the class Mammalia
  • Recognition can be at multiple levels of
    categorization, or be identification at the level
    of specific individuals , as in faces.
  • Partonomy Objects have parts, they have
    subparts and so on. The human body contains the
    head, which in turn contains the eyes.
  • These notions apply equally well to scenes and to
    activities.
  • Psychologists have argued that there is a
    basic-level at which categorization is fastest
    (Eleanor Rosch et al).
  • In a partonomy each level contributes useful
    information for recognition.

29
Visual Control of Action
  • Locomotion
  • Navigation/Way-finding
  • Obstacle Avoidance
  • Manipulation
  • Grasping
  • Pick and Place
  • Tool use

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31
Camera Obscura(Reinerus Gemma-Frisius, 1544)
32
Camera Obscura(Angelo Sala, 1576-1637)
33
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