What is bottom-up processing in vision?
Bottom-up processing builds information from sensory input, including edges, color, shape, and spatial arrangement.
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What is bottom-up processing in vision?
Bottom-up processing builds information from sensory input, including edges, color, shape, and spatial arrangement.
What is top-down processing in vision?
Top-down processing uses context, expectations, knowledge, and current goals to help interpret sensory input.
How does visual organization turn light patterns into candidate objects?
The visual system separates regions, assigns borders to figures, groups elements, and parses wholes into parts.
What can proximity do to nearby visual elements?
Nearby dots may be perceived as a group, illustrating how proximity can organize visual elements.
How can the visual system perceive a partly hidden object?
A partly hidden object may still appear continuous behind an obstruction, helping the visual system form a candidate object.
Name visual properties that provide bottom-up grouping evidence.
A contour, alignment, or shared color provides bottom-up evidence that visual elements may belong together.
How can context help recognize a blurred object?
Stored knowledge and context help recognition narrow possible identities; a blurred handled object in a kitchen is more likely to be identified as a toaster.
What is scene gist?
Scene gist is a rapid, broad impression of an environment, such as a kitchen, street, or forest.
How do typical object relationships guide visual recognition?
Typical object relationships guide recognition: a toaster is likely on a counter, and a car is likely on a road.
What do likelihood and prior contribute to perception?
Bayesian perception combines the likelihood—how well an interpretation fits visual evidence—with a prior—how plausible it is given context and past experience.
How can a sequence change the reading of an ambiguous character?
A shape between letters may be read as B, while the same shape between numbers may be read as 13; the surrounding sequence shifts the interpretation.
How do scene and object recognition influence each other?
Scene information can direct attention to likely locations, while recognized objects can refine the interpretation of the scene.
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