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 …

Virtual reality (VR) offers an artificial, computer generated simulation of a real life
environment. It originated in the 1960s and has evolved to provide increasing immersion …

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 …

This article proposes a deep learning‐based automated crack evaluation technique for a
high‐rise bridge pier using a ring‐type climbing robot. First, a ring‐type climbing robot …

Preserving geometric structures in the scene plays a vital role in image stitching. However,
most of the existing methods ignore the large-scale layouts reflected by straight lines or …

Image stitching is a classical and challenging technique in computer vision, which aims to
generate an image with a wide field of view. The traditional methods heavily depend on …

In this letter, we propose an end-to-end stitching network, which takes two images with a
narrow field of view (FOV) as inputs, and produces a single image with a wide FOV. Our …

Irregular boundaries in image stitching naturally occur due to freely moving cameras. To
deal with this problem, existing methods focus on optimizing mesh war** to make …

Hainan is located at the southernmost tip of China, since ancient times it has always
occupied an important position on the Silk Road. Hainan culture is dominated by minority …

It is quite challenging to stitch images with continuous depth changes and complex textures.
To solve this problem, we propose an optimized seam-driven image stitching method …