Image/video stitching is a technology for solving the field of view (FOV) limitation of
images/videos. It stitches multiple overlap** images/videos to generate a wide-FOV …

Traditional feature-based image stitching technologies rely heavily on feature detection
quality, often failing to stitch images with few features or low resolution. The learning-based …

Recent works on image harmonization solve the problem as a pixel-wise image translation
task via large autoencoders. They have unsatisfactory performances and slow inference …

The goal of image stitching is to create natural-looking mosaics free of artifacts that may
occur due to relative camera motion, illumination changes, and optical aberrations. In this …

Parallax handling is a challenging task for image stitching. This paper presents a local
stitching method to handle parallax based on the observation that input images do not need …

Homography estimation is a basic image alignment method in many applications. It is
usually conducted by extracting and matching sparse feature points, which are error-prone …

Compositing an image usually inevitably suffers from inharmony problem that is mainly
caused by incompatibility of foreground and background from two different images with …

The past few decades have witnessed great progress for unmanned aerial vehicles (UAVs)
in civilian fields, especially in photogrammetry and remote sensing. In contrast with manned …

Traditional image stitching approaches tend to leverage increasingly complex geometric
features (point, line, edge, etc.) for better performance. However, these hand-crafted features …

This paper proposes a novel parametric warp which is a spatial combination of a projective
transformation and a similarity transformation. Given the projective transformation relating …