Abstract
A stereo matching method is presented which uses multiple stereo
pairs with various baselines to obtain precise depth estimates without
suffering from ambiguity. The stereo matching method uses multiple
stereo pairs with different baselines generated by a lateral
displacement of a camera. Matching is performed by computing the sum of
squared-difference (SSD) values. The SSD functions for individual stereo
pairs are represented with respect to the inverse depth (rather than the
disparity, as is usually done), and then are simply added to produce the
sum of SSDs. This resulting function is called the
SSSD-in-inverse-depth. The authors define a stereo algorithm, based on
the SSSD-in-inverse-depth and then present a mathematical analysis to
show how the algorithm can remove ambiguity and increase precision.
Experimental results for stereo images are presented to demonstrate the
effectiveness of the algorithm
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