DocumentCode :
3450565
Title :
Maximum-likelihood depth-from-defocus for active vision
Author :
KlarquisT, William N. ; Geisler, Wilson S. ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume :
3
fYear :
1995
fDate :
5-9 Aug 1995
Firstpage :
374
Abstract :
A new method for actively recovering depth information using image defocus is demonstrated and shown to support active stereo vision depth recovery by providing monocular depth estimates to guide the positioning of cameras for stereo processing. This active depth-from-defocus approach employs a spatial frequency model for image defocus which incorporates the optical transfer function of the image acquisition system and a maximum likelihood estimator to determine the amount of defocus present in a sequence of two or more images taken from the same pose. This defocus estimate is translated into a measurement of depth and associated uncertainty that is used to control the positioning of a variable baseline stereo camera system. This cooperative arrangement significantly reduces the matching uncertainty of the stereo correspondence process and increases the depth resolution obtainable with an active stereo vision platform
Keywords :
active vision; computer vision; image sequences; maximum likelihood estimation; optical transfer function; stereo image processing; active vision; depth information; image acquisition system; image defocus; matching uncertainty; maximum-likelihood depth-from-defocus; monocular depth estimates; optical transfer function; spatial frequency model; stereo correspondence process; stereo vision; variable baseline stereo camera system; Cameras; Focusing; Frequency estimation; Laboratories; Layout; Lenses; Machine vision; Maximum likelihood estimation; Robot vision systems; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-7108-4
Type :
conf
DOI :
10.1109/IROS.1995.525912
Filename :
525912
Link To Document :
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