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A novel approach to fuse the information from multiple keypoint descriptors using the Dempster-Shafer Theory of evidence is proposed
The matching results of each descriptor are transformed into an evidence distribution on which a confidence factor is computed making use of its entropy. T
Our method has been tested with the SIFT, SURF, ORB, BRISK and FREAK obtaining an improvement of up to 10 compared to the best one.