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 …

Multi-modal image registration aims to spatially align two images from different modalities to
make their feature points match with each other. Captured by different sensors, the images …

RGBT tracking receives a surge of interest in the computer vision community, but this
research field lacks a large-scale and high-diversity benchmark dataset, which is essential …

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 …

Image stitching is a traditional but challenging computer vision task, aiming to obtain a
seamless panoramic image. Recently, researchers begin to study the image stitching task …

Image inpainting is the task of plausibly restoring missing pixels within a hole region that is
to be removed from a target image. Most existing technologies exploit patch similarities …

Abstract We propose Iterative Homography Network, namely IHN, a new deep homography
estimation architecture. Different from previous works that achieve iterative refinement by …

Estimating homography from an image pair is a fundamental problem in image alignment.
Unsupervised learning methods have received increasing attention in this field due to their …

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