object perception (ch 5) - exam 2 (2/3)

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37 Terms

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lower level processing

visual processing that includes seeing without processing what an item is - identifying local elements

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higher level processing

visual processing that includes interpreting and making meaning from visual input beyond its basic images/parts - objects and form

  • detection, discrimination, identification


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detection, discrimination, identification

3 parts of higher level processing

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detection

part of HL processing - picking up on an object’s presence

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discrimination

part of HL processing - distinguishing an object from other objects

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identification

part of HL processing - recognizing an object for what it is from memory

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structuralist and Gestalt

approaches to form perception

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structuralist

approach to form perception - concerned with the parts/elements of a form, individual

  • Biderman’s recognition-by-components

  • Treisman’s feature integration theory


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gestalt

approach to form perception - concerned with how the parts are combined

  • holistic approach to the brain that prioritizes HL processing over LL processing

  • we see the scene, rather than the scene’s parts

  • stimuli has enough meaning to be directly interpreted

  • 4 laws: proximity, similarity, good continuation, closure


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proximity, similarity, good continuation, closure

gestalt principles of organization/grouping

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proximity

gestalt principle of organization/grouping that states that items near each other are grouped together

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similarity

gestalt principle of organization/grouping that states that items similar to (look like) each otherare grouped together

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good continuation

gestalt principle of organization/grouping that states that we see items intersecting, aligned, or overlapping as continuous, rather than as broken fragments

  • smooth edges are more likely to be seen as continuous than those with sharp/abrupt edges


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closure

gestalt principle of organization/grouping that states that we fill in missing parts/gaps of an incomplete shape to perceive it as unified/complete

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feature integration theory (Treisman)

theory about object construction

  • objects are constructed from their elements, or a set of primitive parts, that are put together to be perceived as a whole

    • bottom up

    • 2D

    • features at particular locations are combined, forming an object in a particular location for recognition

  • three stages: pre-attentive, focused attention, recognition

  • determining basic features: pop-out boundary, visual search

  • evidence: illusory conjunctions


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pre-attentive, focused attention, recognition

stages of feature integration theory

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pre-attentive stage

first stage of feature integration theory: quickly ID basic parts/features without a lot of attention (unconscious)

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focused attention stage

second stage of feature integration theory: basic features are combined to form an object

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recognition

third stage of feature integration theory: comparing object with memory to recognize it for what it is

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pop-out boundary

strategy to determine basic features in FIT - displayed among the noise to make an object obvious

  • ex: circle made of / in a sea of \


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visual search

strategy to determine basic features in FIT - objects with unique features are easier to find

  • ex: O in a sea of V’s is easy to find, but finding an O in a sea of P’s, Q’s, R’s, and V’s is significantly harder

    • roundness no longer unique


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illusory conjunction

evidence to support FIT - incorrect combination of features

  • flashing colored letters then having people repeat what they saw - correct features, but wrong letters = wrong combination

  • demonstrates that objects are made up of individual features


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recognition by components (Biederman)

theory about object constuction that objects are made up of approximately 36 different geons/figures (simple shapes)

  • principle of componential recovery

  • geon properties: view invariance, discriminability, resistance to visual noise

    • harder to recognize when visual noise blocks where 2 geons intersect


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principle of componential recovery

principle in RBC - if enough geons of an object are present, we can recognize the object

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view invariance

property of geon in RBC - recognizable at any viewpoint, orientation, and/or angle

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discriminability

property of geon in RBC - distunguishable from 1 another (e.g., cylinder v. pyramid)

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resistance to visual noise

property of geon in RBC - can be seen, viewed, and understood amongst visual noise


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view invariance, discriminability, resistance to visual noise

properties of geons (RBC)

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we can recognize broad classes of objects, but does not explain why we can recognize different objects within a category

critique of RBC

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IT cortex (inferotemporal)

cells in this area allow us to recognize faces as they prefer face stimuli

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specialized cells in IT cortex, ability to distinguish, expertise, provides info (age, gender, emotion, etc.)

why are faces special?

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normal face perception and prosopagnosia

evidence of individualized processing of faces comes from studies of…

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prosopagnosia

inability to recognize faces (okay with other objects)

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face inversion effect

faces are hard to recognize when they are upside-down, but objects aren’t

  • demonstrates that faces are processed differently than objects


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thatcher effect

upside-down face with mouth and eyes flipped upside down looks normal, but once it’s placed right-side up, it looks deformed/wrong

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Treisman

pioneer of feature integration theory

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Biederman

pioneer of recognition-by-components