Images captured from different viewpoints or devices have often exhibited significant
geometric and photometric differences due to factors such as environmental variations …

Automatically registration of unmanned aerial vehicle (UAV) multispectral images is
fundamental for subsequent applications. Although many studies exist for visible camera …

Efficient and accurate estimation of homographies among images is the first step in
mosaicking crop fields for phenoty**. The current strategy uses sophisticated vehicles that …

Great advances in stitching high-quality retinal images have been made in recent years. On
the other hand, very few studies have been carried out on low-resolution retinal imaging …

Cylindrical panorama stitching is able to generate high resolution images of a scene with a
wide field-of-view (FOV), making it a useful scene representation for applications like …

Existing feature-based methods for homography estimation require several point
correspondences in two images of a planar scene captured from different perspectives …

The standard approach to the estimation of homographies consists in the application of the
RANSAC algorithm to a set of tentative matches. More recent strategies based on deep …

Fast and accurate homography estimation between images is crucial for relative pose
estimation in autonomous exploration. Recently, learning-based methods have been …

Image stitching, as the important field of computer graphics and vision, has received much
attention in recent years. Image stitching techniques are generally decomposed into two …

This paper presents an unsupervised approach that leverages raw aerial videos to learn to
estimate planar homographic transformation between consecutive video frames. Previous …