DocumentCode :
2527984
Title :
Binocular versus trinocular stereo
Author :
Dhond, Umesh R. ; Aggarwal, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fYear :
1990
fDate :
13-18 May 1990
Firstpage :
2045
Abstract :
Consideration is given to the twin issues of the gain in accuracy of stereo correspondence and the accompanying increase in computational cost due to the use of a third camera for stereo analysis. The relative performance of binocular and trinocular stereo algorithms on stereo images with known ground truth is evaluated. A technology for comparing the matching performance of stereo algorithms by using real digital elevation maps is developed. Trinocular local matching reduces the percentage of mismatches having large disparity errors by more than one half when compared to binocular matching, while trinocular stereopsis increases the computational cost of local matching over binocular stereopsis by only about one fourth
Keywords :
computerised pattern recognition; computerised picture processing; accuracy gain; binocular stereo; computational cost; local matching; stereo correspondence; stereopsis; trinocular stereo; Cameras; Computational efficiency; Computer vision; Contracts; Costs; Data mining; Image analysis; Image recognition; Robot vision systems; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location :
Cincinnati, OH
Print_ISBN :
0-8186-9061-5
Type :
conf
DOI :
10.1109/ROBOT.1990.126306
Filename :
126306
Link To Document :
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