Perceiving and Recognizing Objects Flashcards
texture segmentation
Carving an image into regions of common texture properties.
global superiority effect
The finding in various experiments that the properties of the whole object take precedence over the properties of parts of the object.
viewpoint invariance
- A property of an object that does not change when observer viewpoint changes. 2. A class of theories of object recognition that proposes representations of objects that do not change when viewpoint changes.
fusiform face area (FFA)
A region of extrastriate visual cortex in humans that is specifically and reliably activated by human faces.
agnosia
A failure to recognize objects in spite of the ability to see them. Agnosia is typically due to brain damage.
homologous regions
Brain regions that appear to have the same function in different species.
recognition-by-components model
Biederman’s model of object recognition, which holds that objects are recognized by the identities and relationships of their component parts.
symmetry
A rule for figure-ground assignment stating that symmetrical regions are more likely to be seen as figure.
congenital prosopagnosia
A form of “face blindness” apparently present from birth, as opposed to “acquired prosopagnosia,” which would typically be the result of an injury to the nervous system.
Necker cube
An outline that is perceptually bi-stable. Unlike the situation with most stimuli, two interpretations continually battle for perceptual dominance.
heuristic
A mental shortcut.
middle (midlevel) vision
A loosely defined stage of visual processing that comes after basic features have been extracted from the image (low-level, or early, vision) and before object recognition and scene understanding (high-level vision).
middle temporal area (MT)
An area of the brain thought to be important in the perception of motion.
structuralism
A school of thought believing that complex objects or perceptions could be understood by analysis of the components.
Bayesian approach
A way of formalizing the idea that our perception is a combination of the current stimulus and our knowledge about the conditions of the world—what is and is not likely to occur. The Bayesian approach is stated mathematically as Bayes’ theorem—P( A|O) = P( A) × P(O| A)/P(O)—which enables us to calculate the probability (P ) that the world is in a particular state ( A) given a particular observation (O).
extrastriate body area (EBA)
A region of extrastriate visual cortex in humans that is specifically and reliably activated by images of the body other than the face.