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object recognition
identification of an object
form perception
process through which the basic shape and size are seen
gestalt
similarity, proximity, good continuation, closure, and simplicity
monocular cues
relative size, interposition, relative, clarity, texture gradient, relative height, linear perspectives, light and shadow, accommodation, motion parallax
relative size
smaller with mean something is farther away
interposition
blocking can show what is in front
relative clarity
less clear things are closer to the face
texture gradient
things blend together as they get farther
relative height
height changes as things get closer and farther
linear perspectives
lines will converge as they get farther away
light and shadow
brightest tend to be closest
accommodation
based on how hard the muscles of the eye are working
only good for short distances
“must be really close because of how hard our muscles are working”
motion parallax
the further something is away the slower it appears to be moving (ex: mountains on a road trip)
binocular cues
stereopsis, convergence
stereopsis
retinal disparity
2 eyes will have diff view of the world
convergence
muscles of eyes will signal how converged they are
bottom-up processing
stimulus driven effects
top-down processing
concept driven effects
template matching theory
assumes a retinal image transmitted to the brain, then compared it to stored patterns
cons: isn’t flexible, impossible for so many templates
feature analysis
all objects have features and matching features creates internal representation
pandemonium model
feature detectors will detect basic aspects
cognitive detectors will respond for combinations of features (look at cues and ‘shout’ if combo of features is present whichever is loudest matches most
decision detector selects output
simpler and built of building blocks
visual agnosia
trouble judging what something is or how features combine together to make objects
apperceptive agnosia
can’t perceive shapes (parietal cortex damage)
associative agnosia
can’t combine features to make a more complex object
word superiority effect
we are faster to recognize the characteristics of real words than random string of letters
top-down influence
geons
building blocks of objects
geon recognition
object recognition
can be recognized at every angle, unique and robust to noise (even if some parts are missing you can still recognize, no matter how it is decorated you can sitll recognize
fuzzy logical model of perception
stimulus features and context combine independently (bottom up and top down)
perception uses probability and patter recognition
uses diff processing depending on information available