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lower level processing
visual processing that includes seeing without processing what an item is - identifying local elements
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
detection, discrimination, identification
3 parts of higher level processing
detection
part of HL processing - picking up on an object’s presence
discrimination
part of HL processing - distinguishing an object from other objects
identification
part of HL processing - recognizing an object for what it is from memory
structuralist and Gestalt
approaches to form perception
structuralist
approach to form perception - concerned with the parts/elements of a form, individual
Biderman’s recognition-by-components
Treisman’s feature integration theory
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
proximity, similarity, good continuation, closure
gestalt principles of organization/grouping
proximity
gestalt principle of organization/grouping that states that items near each other are grouped together
similarity
gestalt principle of organization/grouping that states that items similar to (look like) each otherare grouped together
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
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
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
pre-attentive, focused attention, recognition
stages of feature integration theory
pre-attentive stage
first stage of feature integration theory: quickly ID basic parts/features without a lot of attention (unconscious)
focused attention stage
second stage of feature integration theory: basic features are combined to form an object
recognition
third stage of feature integration theory: comparing object with memory to recognize it for what it is
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 \
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
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
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
principle of componential recovery
principle in RBC - if enough geons of an object are present, we can recognize the object
view invariance
property of geon in RBC - recognizable at any viewpoint, orientation, and/or angle
discriminability
property of geon in RBC - distunguishable from 1 another (e.g., cylinder v. pyramid)
resistance to visual noise
property of geon in RBC - can be seen, viewed, and understood amongst visual noise
view invariance, discriminability, resistance to visual noise
properties of geons (RBC)
we can recognize broad classes of objects, but does not explain why we can recognize different objects within a category
critique of RBC
IT cortex (inferotemporal)
cells in this area allow us to recognize faces as they prefer face stimuli
specialized cells in IT cortex, ability to distinguish, expertise, provides info (age, gender, emotion, etc.)
why are faces special?
normal face perception and prosopagnosia
evidence of individualized processing of faces comes from studies of…
prosopagnosia
inability to recognize faces (okay with other objects)
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
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
Treisman
pioneer of feature integration theory
Biederman
pioneer of recognition-by-components