DocumentCode
3053399
Title
Issues in selective perception
Author
Brown, Christopher M.
Author_Institution
Dept. of Comput. Sci., Rochester Univ., NY, USA
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
21
Lastpage
30
Abstract
A historical review of the status of selection in machine vision is followed by some thoughts about the contributions of hardware and software architectures to the field. The ideas of parallel computation and encapsulated visual modules is captured in a suggested architecture. An example system shows that Bayes nets offer a mechanism to support selective perception. Finally, some related research issues are suggested
Keywords
computer vision; neural nets; parallel architectures; Bayes nets; computer vision; machine vision; neural nets; parallel architectures; parallel computation; selective perception; software architectures; visual modules; Artificial intelligence; Computer science; Computer vision; Concurrent computing; Control systems; Hardware; Humans; Intelligent sensors; Psychology; Software architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2910-X
Type
conf
DOI
10.1109/ICPR.1992.201500
Filename
201500
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