Image Stitching
25 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
Latest papers
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.
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.
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.
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.
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.
Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching
Generating high-quality stitched images with natural structures is a challenging task in computer vision.
Registration of Multiresolution Remote Sensing Images Based on L2-Siamese Model
TheKiteFlier/L2_Siamese
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
The registration of multiresolution optical remote sensing images has been widely used in image fusion, change detection, and image stitching.
More Informed Random Sample Consensus
In the hypothesis sampling step of the proposed method, data is sorted with a sorting algorithm we proposed, which sorts data based on the likelihood of a data point being in the inlier set.
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
Accurate environment perception is essential for automated driving.
