DocumentCode
300142
Title
Modeling foreshortening in stereo vision using local spatial frequency
Author
Maimone, Mark W. ; Shafer, Steven A.
Author_Institution
Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
1
fYear
1995
fDate
5-9 Aug 1995
Firstpage
519
Abstract
Many aspects of the real world continue to plague stereo matching systems. One of these is perspective foreshortening, an effect that occurs when a surface is viewed at a sharp angle. Because each stereo camera has a slightly different view, the image of the surface is more compressed and occupies a smaller area in one view. These effects cause problems because most stereo methods compare similarly sized regions (using the same-sized windows in both images), tacitly assuming that objects occupy the same extents in both images. Clearly this condition is violated by perspective foreshortening. We show how to overcome this problem using a local spatial frequency representation. A simple geometric analysis leads to an elegant solution in the frequency domain which, when applied to a Gabor filter-based stereo system, increases the system´s maximum matchable surface angle from 30 degrees to over 75 degrees
Keywords
computer vision; filtering theory; frequency-domain analysis; image matching; spatial filters; stereo image processing; Gabor filter; frequency domain; geometric analysis; local spatial frequency; local spatial frequency representation; perspective foreshortening; stereo camera; stereo matching systems; stereo vision; Cameras; Computer science; Frequency; Gabor filters; Image analysis; Image coding; Information filtering; Optical filters; Stereo vision; Surface texture;
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.1995.525846
Filename
525846
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