Name: | Description: | Size: | Format: | |
---|---|---|---|---|
29.29 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Computer vision for realtime applications requires tremendous computational
power because all images must be processed from the first to the last pixel. Ac
tive vision by probing specific objects on the basis of already acquired context
may lead to a significant reduction of processing. This idea is based on a few
concepts from our visual cortex (Rensink, Visual Cogn. 7, 17-42, 2000): (1) our
physical surround can be seen as memory, i.e. there is no need to construct
detailed and complete maps, (2) the bandwidth of the what and where systems
is limited, i.e. only one object can be probed at any time, and (3) bottom-up,
low-level feature extraction is complemented by top-down hypothesis testing, i.e.
there is a rapid convergence of activities in dendritic/axonal connections.
Description
Keywords
Visão computorizada Córtex visual 621.38
Citation
Workshop on Active Vision VII (7WAV 2005). - Reading, 12 September 2005. - p 8
Publisher
Reading