This paper presents a geometrical-information-assisted approach for matching local features. With the aid of Bayes’ theorem, it is found that the posterior confidence of matched features can be improved by introducing global geometrical information given by distances between feature points. Based on this result, we work out an approach to obtain the geometrical information and apply it to assist matching features. The pivotal techniques in this paper include (1) exploiting elliptic parameters of feature descriptors to estimate transformations that map feature points in images to points in an assumed plane; (2) projecting feature points to the assumed plane and finding a reliable referential point in it; (3) computing differences of the dist...
Local image features have been designed to be informative and repeatable under rigid transformations...
Finding reliable and well distributed keypoint correspondences between images of non-static scenes i...
Abstract—Feature detection and matching are essential parts in most computer vision applications. Ma...
We consider the problem of matching model and sensory data features in the presence of geometric unc...
Feature description and matching is an essential part of many computer vision applications. Numerous...
Abstract—Many algorithms have been proposed to solve the problem of matching feature points in two o...
Abstract—Many algorithms have been proposed to solve the problem of matching feature points in two o...
Feature matching is a fundamental technical issue in many applications of photogrammetry and remote ...
This paper introduces a method for partial matching of surfaces represented by triangular meshes. Ou...
This article introduces a method for partial matching of surfaces represented by triangular meshes. ...
Abstract – Local features offer high repeatability, which sup-ports efficient matching between image...
Local features play an important role for many computer vision problems; they are highly discrimina...
Local invariant feature extraction methods are widely used for image-features matching. There exist ...
This paper approaches the problem of finding correspondences between images in which there are large...
The prevalent approach to image-based localization is matching interest points detected in the query...
Local image features have been designed to be informative and repeatable under rigid transformations...
Finding reliable and well distributed keypoint correspondences between images of non-static scenes i...
Abstract—Feature detection and matching are essential parts in most computer vision applications. Ma...
We consider the problem of matching model and sensory data features in the presence of geometric unc...
Feature description and matching is an essential part of many computer vision applications. Numerous...
Abstract—Many algorithms have been proposed to solve the problem of matching feature points in two o...
Abstract—Many algorithms have been proposed to solve the problem of matching feature points in two o...
Feature matching is a fundamental technical issue in many applications of photogrammetry and remote ...
This paper introduces a method for partial matching of surfaces represented by triangular meshes. Ou...
This article introduces a method for partial matching of surfaces represented by triangular meshes. ...
Abstract – Local features offer high repeatability, which sup-ports efficient matching between image...
Local features play an important role for many computer vision problems; they are highly discrimina...
Local invariant feature extraction methods are widely used for image-features matching. There exist ...
This paper approaches the problem of finding correspondences between images in which there are large...
The prevalent approach to image-based localization is matching interest points detected in the query...
Local image features have been designed to be informative and repeatable under rigid transformations...
Finding reliable and well distributed keypoint correspondences between images of non-static scenes i...
Abstract—Feature detection and matching are essential parts in most computer vision applications. Ma...