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

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 …

The analysis of two-dimensional images enables the detection of structures, objects and
their further classification. In the Internet of Things, images are data obtained from cameras …

In the field of image stitching, cases with large camera optical center movement and large
parallax have been the virgin territory of research. The goal of image stitching is to overcome …

This paper presents a novel approach for natural stitching multiple images by integrating
thin-plate spline (TPS), cylindrical projection, and plumb-line constraint. Firstly, the …

Image stitching with large parallax is a challenging computer vision problem. Although
existing seam-based approaches were proposed to achieve pleasing results, issues like …

Depth map stitching technology is urgently needed in varying fields such as panoramic three-
dimensional reconstruction, underwater mapping, autonomous driving, and robot collision …

Stitched images can offer a broader field of view, but their boundaries can be irregular and
unpleasant. To address this issue, current methods for rectangling images start by distorting …

Homography estimation aligns image pairs in cross-views, which is a crucial and
fundamental computer vision problem. Existing methods only consider correspondences of …

Homography estimation is a fundamental task in many computer vision applications.
Recently, deep learning-based methods have shown to be favorable for this problem when …