SIFT (Scale invariant feature transform) descriptor is one of the most effective local features that is used for scale, rotation and illumination invariant of automatic image registration. In this paper a fast bi-directional matching algorithm based on SIFT was proposed for improving match accuracy and reducing match time. Firstly the single-feature points and multi-feature points in two images...

Generic Framework. Ontology matching is the process that takes two or more ontologies to identify semantically corresponding entities across them. As the numbers of developed ontologies as well as the number of entities in each ontology are increasing, traditional approaches to ontology matching fail or are not able to scale. Therefore, there is a growing need for new matching algorithms. A com...

Semi-global matching (SGM) has been widely used in binocular vision. In spite of its good efficiency, SGM still difficulties dealing with low-texture regions. this paper, an algorithm based on multi-scale information fusion (MSIF), named SGM-MSIF, is proposed by combining multi-path cost aggregation and cross-scale (CSCA). Firstly, the stereo pairs at different scales are obtained Gaussian pyra...

Schema matching plays a central role in many applications that require interoperability among heterogeneous data sources. A good evaluation for different capabilities of schema matching systems has become vital as the complexity of such systems arises. The capabilities of matching systems incorporate different (possibly conflicting) aspects among them match quality and match efficiency. The ana...