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 …

Abstract The application of Computer Vision (CV) techniques massively stimulates
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

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 …

Incorporating smoothness constraints into feature matching is known to enable ultra-robust
matching. However, such formulations are both complex and slow, making them unsuitable …

Numerous single image blind deblurring algorithms have been proposed to restore latent
sharp images under camera motion. However, these algorithms are mainly evaluated using …

We investigate projective estimation under model inadequacies, ie, when the underpinning
assumptions of the projective model are not fully satisfied by the data. We focus on the task …

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 …

Current methods for combining two different images produce visible artifacts when the
sources have very different textures and structures. We present a new method for …