Seeking reliable correspondences between two feature sets is a fundamental and important
task in computer vision. This paper attempts to remove mismatches from given putative …

This paper focuses on removing mismatches from given putative feature matches created
typically based on descriptor similarity. To achieve this goal, existing attempts usually …

Local image feature matching under large appearance, viewpoint, and distance changes is
challenging yet important. Conventional methods detect and match tentative local features …

Image matching plays a vital role in many computer vision tasks, and this paper focuses on
the mismatch removal problem of feature-based matching. We formulate the problem into a …

In this paper we propose a global optimization-based approach to jointly matching a set of
images. The estimated correspondences simultaneously maximize pairwise feature affinities …

Feature matching, which refers to establishing reliable correspondences between two sets
of feature points, is a critical prerequisite in feature-based image registration. This paper …

Feature matching, which refers to establishing reliable correspondence between two sets of
features, is a critical prerequisite in a wide spectrum of vision-based tasks. Existing attempts …

Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …

As a fundamental and important task in many applications of remote sensing and
photogrammetry, feature matching tries to seek correspondences between the two feature …

Area-based image matching and sub-pixel displacement estimation using similarity
measures are common methods that are used in various fields. Sub-pixel estimation using …