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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

Showing 91100 of 134 papers

TitleStatusHype
HSolo: Homography from a single affine aware correspondence0
Geometric Estimation via Robust Subspace RecoveryCode1
Making Affine Correspondences Work in Camera Geometry ComputationCode1
Online Invariance Selection for Local Feature DescriptorsCode1
Co-Attention for Conditioned Image Matching0
SEKD: Self-Evolving Keypoint Detection and DescriptionCode1
Robust Homography Estimation via Dual Principal Component Pursuit0
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization0
Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning0
Deep Homography Estimation for Dynamic ScenesCode1
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