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Perception

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... Information from the stimulus that specifies how it can be used Visual Agnosia Visual Agnosia Associative Visual Agnosia Can copy, but unaware what it is; ... – PowerPoint PPT presentation

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Title: Perception


1
Perception
2
Question of the Day
  • Why is recognizing an object so easy for humans,
    but so difficult for computers?

3
Points of Confusion
http//i.ivillage.com/E/325/Celebrities/FaceReader
/FaceReaderIntro_325.jpg
http//www.apogeephoto.com/mag1-6/mag2-5mf1.jpg
4
  • Perception
  • attaching meaning to incoming sensory information

What is this?
5
Figure 2-1 Distal Stimuli, Proximal Stimuli,
and Percepts.
6
Gestalt ApproachFigureGround Figure 2-2
7
Gestalt ApproachSubjectiveContours Figure
2-3
8
Gestalt principles of Perceptual Organization
  • Proximity
  • http//www.aber.ac.uk

9
Gestalt principles of Perceptual Organization
  • Similarity
  • http//www.aber.ac.uk

10
Gestalt principles of Perceptual Organization
  • Good continuation
  • http//www.aber.ac.uk

11
Gestalt principles of Perceptual Organization
  • Closure

http//daphne.palomar.edu
12
Gestalt principles of Perceptual Organization
  • Common fate

13
Figure 2-5
Gestalt principles of Perceptual Organization
14
The number 4 from the check is compared to a
list of stored templates.
Bottom-Up Processes
Template matching
15
Bottom-Up Processes
  • Problems with Template Matching
  • Large number of stored templates needed
  • How are new templates made?
  • An object can be more or less like the template
  • We can recognize many variations of a template

16
Figure 2-8
Bottom-Up Processes
17
Bottom-Up Processes
  • Featural Analysis
  • features (parts) of a stimulus are recognized
    by feature detectors and added together to help
    us perceive an object
  • Lines or edges
  • Geons
  • Phonemes
  • Parts of a face (eyes, nose)

18
  • Featural Analysis
  • Geons

19
Figure 2-14 A depiction of Selfridges (1959)
Pandemonium model.
Featural Analysis Letter detection
20
Bottom-Up Processes
  • Featural Analysis
  • Feature Properties
  • Detectors can respond at different intensities
  • Connections between detectors can have different
    strengths
  • It is possible to change what a detector will
    respond to

21
Bottom-Up Processes
Prototype Matching
22
Bottom-Up Processes
Prototype Matching
http//www.palm.com
23
Figure 2-19An example of context effects in
perception.
Top-Down Processes
24
Top-Down Processes
  • Perceptual Learning

25
Top-Down Processes
  • Change Blindness
  • http//viscog.beckman.uiuc.edu/grafs/demos/10.html

26
Top-Down Processes
  • Word Superiority Effect

K
K D
WORK
OWRK
27
Bottom-Up and Top-Down Processing working together
Flying Animal
_at
  • Word Perception
  • Connectionist Model

Words
Bat
Letters
B
Fox
Bat
Fat
Features (lines)
I
Rat
Cat
28
Figure 3-26 (p. 91)Example of stimuli used in
the PET scan study of processing words.
  • Word Perception
  • Neuropsychological Perspective

29
Direct Perception vs. Constructivist Approach
  • Biological motion
  • http//www.psico.univ.trieste.it/labs/acn-lab/eng_
    p/e051c1m1_curr.html

30
Optic flow
31
Direct Perception
  • Affordances
  • Information from the stimulus that specifies how
    it can be used

32
Visual Agnosia
http//scien.stanford.edu/class/psych221/projects/
06/cukur/intro_files/image021.jpg
33
Visual Agnosia
  • Associative Visual Agnosia
  • Can copy, but unaware what it is cannot assign
    meaning to object
  • Difficulty in transferring visual info into words
  • Apperceptive Visual Agnosia
  • Cannot recognize by shape
  • Cannot copy drawings
  • Often involves prosopagnosia

http//scien.stanford.edu/class/psych221/projects/
06/cukur/intro_files/image021.jpg
34
Agnosia
35
Identification of Faces and Members of
CategoriesProsopagnosia
The Fusiform Face Area
http//www.psy.vanderbilt.edu/faculty/gauthier/pic
ts/mona_lisa.jpg
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