reverse terms pt.II Flashcards
Potential ambiguity of an object seen from one viewpoint
variable views
Determining the “true” shape of an object when some of its contours are hidden
image clutter
Need to be able to recognize an incredibly large number of objects in the world
object variety
(lower level processes) Represent Edges Figure-ground (assign border ownership) Grouping Interpolation of missing edges
Perceptual Organization
(higher level process)
Match perceptual representation to those stored in memory
Object Recognition
mexican mat: ganglion cell, small hat is all the increased spatial freq info and big hat is course small spac freq info
Edge detection
with the ink edges are appropriately assigned, region in front ‘owns’ the border. If slipped don’t know what’s figure-ground. Amount of light in oral field identical but firing rate for light on dark is higher. Activation is V2 higher if presented with one circle with overlapping triangles then dif vs one circle then same one. (strong response to change in border ownership)
Border ownership:
(structural description theories)
Viewpoint invariant representation
Biederman (recognition by components), Marr
Based on primitives, called 3D “geons”
These are fundamental 3-dimensional shapes that are easily discriminable under a wide variety of conditions
Defines parts and the spatial relation between them
In-category distinctions difficult.
-We’d be a lot worse at object recognition if this were the case
Prototype matching
Viewpoint-dependent representation (if change orientation we suddenly suck) therefore okay but need lots of representations for each object (unless population code, then not more neurons…more patterns of neurons)
Template matching
- Area lower down (like V2) location more important [NB for representation of the world]
- info hierarchical in ITC
- dif aspects of stim processed by dif anatomical areas but all must work together
- top more vauge (animate vs inanimate) snd lower is finer processing like (FFA or ob?), even finer (bottom would be is it eyes/lips of the face)
Heirarchical Coding
- red-green, blue-yellow, and black-white were organised in some opponent fashion so that the activation of one would supress the other
- On this basis it was possible to explain many colour phenomena
- Card sorting
- Colour afterimages
- Descriptions of colour mixtures
Opponent-Process Theory
Lightness is a perceptual experience NOT a physical quality of an object
Reflectance (albedo) is a physical surface quality proportion of light that is reflected independent of the source of light
Lightness Constancy
Single opponent cell normally responds with
excitation to long wavelength (“red)
inhibition to medium wavelength (“green”)
at baseline to equal amounts of red & green light (“yellow” or “white”).
Therefore,
During adaptation to a red patch, the cell (and/or the cones that send excitatory input to that cell) responds strongly and gets fatigued
After adaptation, the cell is fatigued and not responding as strongly as it normally would (i.e. responding with inhibition when white background presented)
Therefore, we experience a green afterimage in the area of the retina where the adaptation occurred.
Colour Afterimages
Objects look the same colour in a broad range of illuminants - apple is red in store and at home
However, recall
light at eye = reflectance x illuminant
so how is it, that the colour of an object is constant in different illuminants?
Colour Constancy
In any given scene, the region that reflects the most light is perceived as white (or as the lightest shade of gray in the scene), and the lightness of every other region is perceived in relation to that anchor point.
If the scene consists of regions under different amounts of illumination, the visual system applies the rule separately in each illumination zone.
Anchors