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

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 …

Feature matching, which aims at seeking dependable correspondences between two sets of
features, is of considerable significance to various vision-based tasks. This paper attempts to …

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 …

The detection of image versions from large image collections is a formidable task as two
images are rarely identical. Geometric variations such as cropping, rotation, and slight …

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

In this paper we address the problem of matching two images with two different resolutions:
a high-resolution image and a low-resolution one. The difference in resolution between the …

A key challenge in feature correspondence is the difficulty in differentiating true and false
matches at a local descriptor level. This forces adoption of strict similarity thresholds that …

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 …

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 …