Registration for multisensor or multimodal image pairs with a large degree of distortions is a
fundamental task for many remote sensing applications. To achieve accurate and low-cost …

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 …

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 …

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

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 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 paper, we introduce a novel approach to fine-grained cross-view geo-localization. Our
method aligns a warped ground image with a corresponding GPS-tagged satellite image …

Multimodal image matching is a core basis for information fusion, change detection, and
image-based navigation. However, multimodal images may simultaneously suffer from …

We propose the Recurrent homography estimation framework using Homography-guided
image War** and Focus transformer (FocusFormer), named RHWF. Both being …

Multimodal image matching is essential in image stitching, image fusion, change detection,
and land cover map**. However, the severe nonlinear radiometric distortion (NRD) and …