Multi-viewpoint image stitching aims to stitch images taken from different viewpoints into
pictures with a broader field of view. The stitched images are subject to artifacts, geometric …

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

Stitched images provide a wide field-of-view (FoV) but suffer from unpleasant irregular
boundaries. To deal with this problem, existing image rectangling methods devote to …

Homography estimation is an important task in computer vision applications, such as image
stitching, video stabilization, and camera calibration. Traditional homography estimation …

Image stitching is a fundamental task that requires multiple images from different viewpoints
to generate a wide field-of-viewing~(FOV) scene. Previous methods are developed on RGB …

Due to the limitation of commercial light field camera hardware devices, the imaging field of
view is quite narrow. Numerous Light Field Image (LFI) stitching algorithms have been …

Image stitching is a technique in which multiple overlap** images of the scene are
stitched together to generate an image with a wide view and high resolution. Image stitching …

Image stitching is a technique that is often employed in image processing and computer
vision applications. The feature points in an image provide a significant amount of key …

Image stitching aims to align a pair of images in the same view. Generating precise
alignment with natural structures is challenging for image stitching, as there is no wider field …

Recently, there has been growing attention on an end-to-end deep learning-based stitching
model. However, the most challenging point in deep learning-based stitching is to obtain …