Abstract
This paper describes an approach to high performance
image matching, which includes parallel feature detection
and hierarchical image matching. To improve the performance
of the traditional image matching algorithms, we
adopted interesting points as feature points to reduce the
redundant edge points and proposed a parallel guided image
matching scheme by using Hausdorff distance. A series
of experiments have been conducted and the results indicate
the effectiveness of the proposed approach in terms of
speedup and matching accuracy.
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