Image Matching: A Comprehensive Overview of Conventional and Learning-Based Methods

This entry provides a comprehensive overview of methods used in image matching. It starts by introducing area-based matching, outlining well-established techniques for determining correspondences. Then, it presents the concept of feature-based image matching, covering feature point detection and description issues, including both handcrafted and learning-based operators. Brief presentations of frequently used detectors and descriptors are included, followed by a presentation of descriptor matching and outlier rejection techniques. Finally, the entry provides a brief overview of relational matching.