Image Stitching
24 papers with code • 1 benchmarks • 4 datasets
Image Stitching is a process of composing multiple images with narrow but overlapping fields of view to create a larger image with a wider field of view.
Source: Single-Perspective Warps in Natural Image Stitching
( Image credit: Kornia )
HPatches
UDIS-D
PhotoSynth
CROSS
Most implemented papers
Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
nie-lang/UnsupervisedDeepImageStitching
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Even compared with the supervised solutions, our image stitching quality is still preferred by users.
Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
nie-lang/Multi-Grid-Deep-Homography
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Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration.
Geometric Structure Preserving Warp for Natural Image Stitching
Further, an optimized GES energy term is presented to reasonably determine the weights of the sampling points on the geometric structure, and the term is added into the Global Similarity Prior (GSP) stitching model called GES-GSP to achieve a smooth transition between local alignment and geometric structure preservation.
Deep Rectangling for Image Stitching: A Learning Baseline
nie-lang/deeprectangling
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CVPR 2022
In this paper, we address these issues by proposing the first deep learning solution to image rectangling.
AugStatic - A Light-Weight Image Augmentation Library
avs-abhishek123/AugStatic
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Journal of Emerging Technologies and Innovative Research (JETIR) 2022
AugStatic is a custom-built image augmentation library with lower computation costs and more extraordinary salient features compared to other image augmentation libraries.
Augmented Balanced Image Dataset Generator Using AugStatic Library
avs-abhishek123/Balanced_Augmented_ImageDatasetGenerator
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International Journal Of Research And Analytical Reviews (IJRAR) 2022
This paper focuses on the image dataset generator that balances an imbalanced dataset using the AugStatic augmentation library.
Parallax-Tolerant Unsupervised Deep Image Stitching
First, we propose a robust and flexible warp to model the image registration from global homography to local thin-plate spline motion.
Implicit Neural Image Stitching
minshu-kim/nis
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Existing frameworks for image stitching often provide visually reasonable stitchings.
Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition
Trendy suggestions for learning-based elastic warps enable the deep image stitchings to align images exposed to large parallax errors.
$H$-RANSAC, an algorithmic variant for Homography image transform from featureless point sets: application to video-based football analytics
In this paper, we propose a generalized RANSAC algorithm, H-RANSAC, to retrieve homography image transformations from sets of points without descriptive local feature vectors and point pairing.
