DocumentCode :
2723291
Title :
New Robust Matching Cost Functions for Stereo Vision
Author :
El-Mahassni, Edwin D.
fYear :
2007
fDate :
3-5 Dec. 2007
Firstpage :
144
Lastpage :
150
Abstract :
An important first step in calculating a disparity map for two stereoscopic images is the estimation of an initial match score. This paper presents two new match score functions, which although constructed from older cost functions perform better across the different lighting conditions listed here, than their predecessors. Error measurements and disparity maps for indoor and outdoor imagery are also presented.
Keywords :
Australia; Computer applications; Computer vision; Cost function; Digital images; Layout; Pixel; Robustness; Stereo vision; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on
Conference_Location :
Glenelg, Australia
Print_ISBN :
0-7695-3067-2
Type :
conf
DOI :
10.1109/DICTA.2007.4426789
Filename :
4426789
Link To Document :
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