Object Recognition Flashcards
what is object recognition?
processes involved in identifying objects in the visual field
what is mental chronometry?
the time course of a cognitive process
Donder’s simple reaction time is …
is the fastest time possible to make a response after seeing the stimulus
Donder’s choice reaction time is …
the time to push one of two buttons in response to a stimulus
The difference between both of Donder’s reaction times shows what?
it reveals how long it takes to make a response
What are the two key attentional systems involved in object recognition?
the ventral system
the dorsal system
What is Marr’s computational theory
it describes different representations that are constructed in object recognition
1) grey level
2) primal sketch
3) 2.5 sketch
4) 3-D model representations
In Marr’s computational theory what is grey level?
it is the first representation of the stimulus constructed
it compares the intensity of light across the retina, in order to identify edges, bars and terminations (known as place tokens)
In Marr’s computational theory what is raw primal sketch?
it is the second representation of the stimulus which is reconstructed
it groups place tokens into patterns. This grouping is based on spatial pattern, size4 and density of the reoccurring images
In Marr’s computational theory what is 2.5 sketch?
it is the third representation of the stimulus reconstruction
it is a viewer centred construction, vectors have been attached to the edges to indicate orientation
In Marr’s computational theory what is the 3-D model
it is the fourth representation of the reconstructed stimulus
it allows the the viewer to imagine objects in a rotated position, the observer can recognise the object from different perspectives
Summary of Marr’s approach…
object recognition is a computational process
it is a bottom up approach, that does not consider top-down and bottom up processing working in parallel
Biederman’s recognition by components theory (RBC)
Objects are comprised of basic shapes known as geons
there are 36 geons and these can be combined in different ways
allowing us to recognise objects
The steps of Biederman’s object recognition ..
1) edge extraction provides a line drawing of the object
2) segmenting a visual object into parts
3) deciding which edge information can be invariant depending on angle
4) geons constructed from these invariant properties
5) compare neon construction with object representations stored in LTM
Summary of Biederman’s (geon) components theory
it emphasises bottom-up processing
object recognition is viewer invariant (objects can be recognised from all angles)