Real-time object recognition: hierarchical image matching in a parallel virtual machine environment

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 speed-up and matching accuracy.