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Perception

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

Perception

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

Question of the Day

Why is recognizing an object so easy for humans, but so difficult for computers?

Page 3: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Points of Confusion

http://i.ivillage.com/E/325/Celebrities/FaceReader/FaceReaderIntro_325.jpg

http://www.apogeephoto.com/mag1-6/mag2-5mf1.jpg

Page 4: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Perception:attaching meaning to incoming sensory information

What isthis?

Page 5: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

The number “4” from the check is compared to a list of

stored templates.

Bottom-Up Processes

Template matching

Page 6: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Problems with Template Matching Large number of stored templates

needed How are new templates made? An object can be “more or less” like the

templateWe can recognize many variations of a

template

Bottom-Up Processes

Page 7: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Figure 2-8

Bottom-Up Processes

Page 8: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

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…)

Bottom-Up Processes

Page 9: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Featural Analysis

Geons

Page 10: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Figure 2-14 A depiction of Selfridge’s (1959) Pandemonium model.

Featural

Analysis Letter

detection

Page 11: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Bottom-Up Processes

Featural Analysis

Feature PropertiesDetectors can respond at different

intensitiesConnections between detectors can

have different strengthsIt is possible to change what a

detector will respond to

Page 12: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Bottom-Up Processes

Prototype Matching

Page 13: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

http://www.palm.com

Bottom-Up Processes

Prototype Matching

Page 14: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Figure 2-19

An example of context effects in perception.

Top-Down Processes

Page 15: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Top-Down Processes

Perceptual Learning

Page 16: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Top-Down Processes

Change Blindness

http://viscog.beckman.uiuc.edu/grafs/demos/10.html

Page 17: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Word Superiority Effect

Top-Down Processes

K

OWRK

WORK

K D

Page 18: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Bottom-Up and Top-Down Processing working togetherWord Perception Connectionist Model

Features(lines)

Letters

Words

I

B

Bat

_at

Flying Animal

Page 19: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Gestalt Psychology (Wertheimer, Koffka, and Kohler – 1920s)“The whole differs from the sum of its

parts”Perception is not built up from

sensations but is a result of perceptual organization

We use heuristics to make “best guesses” about the identity of stimuli

Theories of Perception

Page 20: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

The Gestalt Approach Principles of perceptual organization

Pragnanz - every stimulus is seen as simply as possible

Page 21: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Figure 2-5

Gestalt principles of Perceptual Organization

Page 22: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Gestalt principles of Perceptual Organization

Similarity

http://www.aber.ac.uk

Page 23: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Gestalt principles of Perceptual Organization Good continuation

what most people would see

not this

http://www.aber.ac.uk

Page 24: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

The Gestalt Approach Principles of perceptual organization

Good continuation Connected points resulting in straight or smooth

curves belong together Lines are seen as following the smoothest path

http://www.owlnet.rice.edu/~psyc351/Images/Wolfe-Fig-04-07-0.jpg

http://graphicdesign.spokanefalls.edu/tutorials/process/gestaltprinciples/continuation/continuation_a.gif

Page 25: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Gestalt principles of Perceptual Organization

http://www.aber.ac.uk

Proximity

Page 26: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

The Gestalt Approach

Principles of perceptual organization Proximity - things that are near to each other are grouped

together

Page 27: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Gestalt principles of Perceptual Organization

Common fate

http://www.tutkie.tut.ac.jp/~mich/humanmotion.gif

Page 28: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Principles of perceptual organization Meaningfulness or familiarity - things form groups if they

appear familiar or meaningful

The Gestalt Approach

http://www.customflamepainting.com/noncgi_parts/upload/samples.901.11.jpg

Page 29: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Principles of perceptual organization Common region - elements in the

same region tend to be grouped together

Uniform connectedness - connected region of visual properties are perceived as single unit

Synchrony - elements occurring at the same time are seen as belonging together

The Gestalt Approach

Page 30: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Properties of figure and ground The figure is more “thinglike” and more memorable

than ground The figure is seen in front of the ground The ground is more uniform and extends behind

figure The contour separating figure from ground belongs

to the figure

Perceptual Segregation

Page 31: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Perceptual Segregation

Figure-ground segregation - determining what part of environment is the figure so that it “stands out” from the background

Reversible figure-ground

Page 32: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?
Page 33: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

http://www.apogeephoto.com/mag1-6/mag2-5mf1.jpg

Perceptual Segregation

Page 34: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Gestalt principles of Perceptual Organization

Closure

http://daphne.palomar.edu

Page 35: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Figure 3-26 (p. 91)Example of stimuli used in the PET scan study of processing words.

Word Perception Neuropsychological Perspective

Page 36: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Direct Perception vs. Constructivist Approach

Biological motion http://www.psico.univ.trieste.it/labs/acn-lab

/eng_p/e051c1m1_curr.html

Page 37: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Optic flow

Page 38: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Affordances: Information from the stimulus that specifies

how it can be used

Direct Perception

Page 39: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Visual Agnosia

http://scien.stanford.edu/class/psych221/projects/06/cukur/intro_files/image021.jpg

Page 40: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

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

Page 41: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Agnosia

Page 42: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Identification of Faces and Members of Categories

Prosopagnosia

The Fusiform Face Area:

http://www.psy.vanderbilt.edu/faculty/gauthier/picts/mona_lisa.jpg

Page 43: Perception. Question of the Day Why is recognizing an object so easy for humans, but so difficult for computers?

Perceptual Intelligence

light-from-above heuristic