Discarding wide baseline mismatches with global and local transformation consistency

A novel method called global and local transformation consistency constraints, which combines the scale, orientation and spatial layout information of `scale invariant feature transform` (SIFT) features, is proposed for discarding mismatches from given putative point correspondences. Experiments show that the proposed method can efficiently extract high-precision matches from low-precision putative SIFT matches for wide baseline image pairs, and outperforms or performs close to state-of-the-art approaches.