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Homography Estimation

Homography estimation is a technique used in computer vision and image processing to find the relationship between two images of the same scene, but captured from different viewpoints. It is used to align images, correct for perspective distortions, or perform image stitching. In order to estimate the homography, a set of corresponding points between the two images must be found, and a mathematical model must be fit to these points. There are various algorithms and techniques that can be used to perform homography estimation, including direct methods, RANSAC, and machine learning-based approaches.

Papers

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Showing 101–134 of 134 papers

TitleStatusHype
G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data—0
CONSAC: Robust Multi-Model Fitting by Conditional Sample ConsensusCode1
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration—0
Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction—0
Content-Aware Unsupervised Deep Homography EstimationCode0
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and DescriptorCode0
Homography from two orientation- and scale-covariant featuresCode0
STN-Homography: estimate homography parameters directly—0
Rethinking Planar Homography Estimation Using Perspective FieldsCode0
Optimal Multi-view Correction of Local Affine FramesCode0
Generative Adversarial Frontal View to Bird View Synthesis—0
Full explicit consistency constraints in uncalibrated multiple homography estimation—0
MAGSAC: marginalizing sample consensusCode1
Insights into the robustness of control point configurations for homography and planar pose estimation—0
Latent RANSACCode0
SuperPoint: Self-Supervised Interest Point Detection and DescriptionCode1
Unsupervised Deep Homography: A Fast and Robust Homography Estimation ModelCode0
STag: A Stable Fiducial Marker SystemCode0
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment—0
Geometric Multi-Model Fitting with a Convex Relaxation Algorithm—0
Planar Object Tracking in the Wild: A Benchmark—0
Automated Top View Registration of Broadcast Football Videos—0
Deep Image Homography EstimationCode1
Feature-based Recursive Observer Design for Homography Estimation—0
Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses—0
Inverting RANSAC: Global Model Detection via Inlier Rate Estimation—0
Direct Structure Estimation for 3D Reconstruction—0
Robust Multiple Homography Estimation: An Ill-Solved Problem—0
Camera Intrinsic Blur Kernel Estimation: A Reliable Framework—0
Radial Distortion Homography—0
A robust and efficient video representation for action recognition—0
Coding local and global binary visual features extracted from video sequences—0
SWIGS: A Swift Guided Sampling Method—0
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