DocumentCode
1286611
Title
Active perception
Author
Bajcsy, Ruzena
Author_Institution
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
Volume
76
Issue
8
fYear
1988
fDate
8/1/1988 12:00:00 AM
Firstpage
966
Lastpage
1005
Abstract
Active perception (active vision specifically) is defined as a study of modeling and control strategies for perception. Local methods are distinguished from global models by their extent of application in space and time. The local models represent procedures and parameters such as optical distortions of the lens, focal lens, spatial resolution, bandpass filter, etc, The global models, on the other hand, characterize the overall performance and make predictions on how the individual modules interact. The control strategies are formulated as a search of such sequences of steps that would minimize a loss function while still seeking the most information. Examples are shown as the existence proof of the proposed theory on obtaining range from focus and stereo/vergence on 2-D segmentation of an image and 3-D shape parameterization
Keywords
computer vision; 2-D segmentation; 3-D shape parameterization; active vision; global models; local models; obtaining range; optical distortions; overall performance; stereo convergence; Band pass filters; Eyes; Feedback; Focusing; Image segmentation; Lenses; Optical distortion; Optical losses; Predictive models; Shape; Spatial resolution;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.5968
Filename
5968
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