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Unit 3: Perception - Coggle Diagram
Unit 3: Perception
Bottom-up processing
data ( from stimulus ) base processing
the first step in perceptual process
theories
Feature Integration Theory (FIT); Treisman
Illusory Conjuctions
Recognition by Components approach (RBC); Biederman
properties
view invariances
discrimnabiity
resistance to visual noise
identify based on object's basic geons
A model for recognizing letters
feature analysis stage; Ann Treisman Visual Search Experiment
letter analysis stage
Perception is an Intelligent Activity
Knowledge from experience (TD processing)
Neurons in our brains that respond to faces and other objects (BU processing)
Experience-dependent plasticity; Gauthier
Reasons why visual perception is hard for a computer compared to human
stimulus received from our receptors may not be clear
objects need to be separated intelligently
parts of an object can be hidden
changes in lightness and darkness can be unclear
Top-down processing
knowledge-based processing
Perceptual Organization; Gestalt Psychologists
The Laws of perceptual organization
Law of Pragnanz (good form)
Law of Similarity
Law of good continuation
Law of Proximity (nearness)
Law of Common fate
Law of familiarity
additional laws; law of closure, law of figure/ground
Continuation on Top-down processing
Gestalt Approach
speech segmentation
hearing
problem solving
approaches
Heuristics
Algorithm