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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 1–50 of 134 papers

TitleStatusHype
HomographyAD: Deep Anomaly Detection Using Self Homography Learning—0
Deep Learning Reforms Image Matching: A Survey and Outlook—0
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation—0
Decoupled Geometric Parameterization and its Application in Deep Homography Estimation—0
LiftFeat: 3D Geometry-Aware Local Feature MatchingCode3
CodingHomo: Bootstrapping Deep Homography With Video CodingCode0
Good Keypoints for the Two-View Geometry Estimation ProblemCode1
UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localizationCode1
Adapting Dense Matching for Homography Estimation with Grid-based AccelerationCode1
SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split OptimizationCode1
SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement—0
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating OptimizationCode1
HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
InterNet: Unsupervised Cross-modal Homography Estimation Based on Interleaved Modality Transfer and Self-supervised Homography PredictionCode1
Semantic-aware Representation Learning for Homography EstimationCode0
SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised LearningCode1
STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite ImageryCode2
TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image—0
EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut PhotographyCode1
PnLCalib: Sports Field Registration via Points and Lines OptimizationCode2
View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV—0
NeRF-Supervised Feature Point Detection and DescriptionCode0
Deep Homography Estimation for Visual Place RecognitionCode2
Are Semi-Dense Detector-Free Methods Good at Matching Local Features?—0
Noisy One-point Homographies are Surprisingly Good—0
MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography EstimationCode1
Video-based Sequential Bayesian Homography Estimation for Soccer Field RegistrationCode0
Automated Camera Calibration via Homography Estimation with GNNs—0
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer—0
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography EstimatorCode1
Scene-Aware Feature Matching—0
Homography Estimation in Complex Topological Scenes—0
AffineGlue: Joint Matching and Robust Estimation—0
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the EdgeCode0
LightGlue: Local Feature Matching at Light SpeedCode4
S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence EstimationCode1
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation—0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
Attention Weighted Local DescriptorsCode1
Analyzing the Domain Shift Immunity of Deep Homography EstimationCode0
SiLK -- Simple Learned KeypointsCode2
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable TransformationCode2
Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial VideoCode0
Medical Image Analysis using Deep Relational Learning—0
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment—0
Nonlinear constructive observer design for direct homography estimation—0
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching—0
A Large Scale Homography BenchmarkCode2
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning—0
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