In this paper, we propose a novel progressive feature matching algorithms based on triplet graph, which will produce a more general local affine transformation ...

Feature based image matching is essential for many computer vision applications. Recently, progressive methods which it- eratively enrich the candidate ...

In this paper, we propose a novel progressive feature matching algorithms based on triplet graph, which will produce a more general local affine transformation ...

[127] addresses the challenges of outliers and many-to-many node correspondence by a density maximization framework which maximizes the values of a proposed ...

A novel progressive framework which combines probabilistic progression of graphs with matching of graphs is proposed which effectively handles the limits of ...

The Progressive Graph Matching (PGM) [54] uses instead another graph matching formulation with neighborhoods defined by the k closest matches and affine patch- ...

Jun 10, 2024 · The teacher model encodes the global features of the triplets through the PLM model and evaluates the global information of the triplets ...

Graph matching, which refers to a class of computational problems of finding an optimal correspondence between the vertices of graphs to minimize (maximize) ...

Feb 20, 2024 · This survey investigates feature detection, description, and matching techniques within the feature-based image-matching pipeline.

A photometric descriptor for virtual lines that join neighbouring feature points can be used in the second-order term of existing graph matchers to ...