perceiving objects Flashcards
detecting features
- look at a collection feautures
- it is stimulus driven/bottom up
- using prior knowledge and expectations
interpreting input
- determine from selections that may be ambigous
- if it was just from stimulus would see lines and circles
- brain based on expectations fills in the gaps
gestalt principles
- german word form or apperance
- concerned with how perceptual organisation is achieved
- describe how we seperate and link (or parse) into individual objects
similarity
group together objects that resemble each other
proximity
closer objects are to each other more likely we are to group them together
good countinuation
prefer to organise objects where contours continue smoothly
closure
bias toward percieving closed objects rather than incomplete ones
simplicity
interpret object in simplest way possible
figure-ground segregation
- separating an object from its background
- pair of faces or vase
- cube illusion
is it innate
- healthy controls=identified regions containing familiar configuration more than novel
- amnesia = no difference
- figure ground perception relies on past experience/learning
strengths of gestalt principles
- focuses in fundamental issues
- simplicity
- principles applicable to complex images
weaknesses of gestalt principles
- deemphasised importance of past experience
- provide descriptions (not explanations) of perceptual phenomena
- principles of perceptual organisation based on 2D drawings
feature detection theories
- a simple pattern, fragment or component
- appears in combination with other features across a variety of stimuli
- object recognition first involves identifying ‘building- block’ features
visual search
- indicate as quickly as you can whether a particular target is present
- differs from the others e.g. vertical line in array of horizontal
feature nets bottom up
hierarchy of how we identify an object or group to create a coherent whole
geometric ions
- recognition by components (RBC) theory
- all objects reduced to geons
- out of 3d shapes you can create an object
recognition by components
- perceiving components is the first major step in object recognition
- object recognition is a joint effort between two processes
non recoverable objects
- vertices (two lines meet) missing
- cannot or take longer to recognise object
recoverable objects
- segments of smooth, continous edges missing
- easy to fill in missing parts and recognise object
weaknessses of theories
- tied to bottom up processing
- some evidence contradicts the feature first aspect of the model. whole object can be percieved rapidly or automaticly
- embeded cognition, perception of objects influenced by our expectation of how we will interact with those objects
perceptual consistency
- we percieve the constant properties of objects in the world, despite sensory info changing
- essential aspect of percieving objects, needed to perceive what something is
size constancy
correctly perceive size on objects, despite changes in size created by viewing distance
shape constancy
correctly percieves shapes of objects despite viewing angle e.g. door
colour constancy
correctly perceive same colour of an object despite changes in wavelengths