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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 101–125 of 134 papers

TitleStatusHype
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization—0
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning—0
HomographyAD: Deep Anomaly Detection Using Self Homography Learning—0
Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses—0
Homography Estimation in Complex Topological Scenes—0
Homography Estimation with Convolutional Neural Networks Under Conditions of Variance—0
HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation—0
HSolo: Homography from a single affine aware correspondence—0
Insights into the robustness of control point configurations for homography and planar pose estimation—0
Inverting RANSAC: Global Model Detection via Inlier Rate Estimation—0
Localization of Ice-Rink for Broadcast Hockey Videos—0
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation—0
Medical Image Analysis using Deep Relational Learning—0
Noisy One-point Homographies are Surprisingly Good—0
Nonlinear constructive observer design for direct homography estimation—0
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching—0
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation—0
Pixel-wise Deep Image Stitching—0
Planar Object Tracking in the Wild: A Benchmark—0
Precise Aerial Image Matching based on Deep Homography Estimation—0
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment—0
Radial Distortion Homography—0
Road-aware Monocular Structure from Motion and Homography Estimation—0
Robust Homography Estimation via Dual Principal Component Pursuit—0
Robust Multiple Homography Estimation: An Ill-Solved Problem—0
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