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
Link To Document :
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