Papers Homography Estimation
“Homography Estimation” 태그가 달린 논문 148편 · 필터 해제
HOME: Robust Hough-space Matching Method for Structured and Textureless Videos
Visual front-ends for robotic localization typically rely on point-based features such as Oriented FAST and Rotated BRIEF (ORB), which frequently fail in structured environments dominated by strong linear structures or t…
Homography Estimation3D Pose EstimationOn the Geometry of Learned Representations in Event-Based Multi-Modal Egomotion Estimation
Classical approaches to event-based egomotion estimation, including those adopted by the top-performing teams of the ELOPE challenge, rely on geometric optimization frameworks such as contrast maximization, homography es…
Homography EstimationSA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios
Homography estimation, as one of the fundamental problems in computer vision, remains challenged by scale variation scenarios where image pairs potentially exhibit significant scale discrepancies. Existing deep learning …
Homography EstimationSceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local nature of feature descriptors, limiting their…
Homography EstimationVisual LocalizationPose EstimationImage MatchingMathematical Analysis of Image Matching Techniques
Image matching is a fundamental problem in Computer Vision with direct applications in robotics, remote sensing, and geospatial data analysis. We present an analytical and experimental evaluation of classical local featu…
Homography EstimationKeypoint DetectionImage MatchingCM-Bench: A Comprehensive Cross-Modal Feature Matching Benchmark Bridging Visible and Infrared Images
Infrared-visible (IR-VIS) feature matching plays an essential role in cross-modality visual localization, navigation and perception. Along with the rapid development of deep learning techniques, a number of representativ…
Homography EstimationVisual LocalizationPose EstimationImage MatchingTowards Generalized Multimodal Homography Estimation
Supervised and unsupervised homography estimation methods depend on image pairs tailored to specific modalities to achieve high accuracy. However, their performance deteriorates substantially when applied to unseen modal…
Homography EstimationHigh Dynamic Range Imaging Based on an Asymmetric Event-SVE Camera System
High dynamic range (HDR) imaging under extreme illumination remains challenging for conventional cameras due to overexposure. Event cameras provide microsecond temporal resolution and high dynamic range, while spatially …
Homography EstimationAdmittance-Based Motion Planning with Vision-Guided Initialization for Robotic Manipulators in Self-Driving Laboratories
Self driving laboratories (SDLs) are highly automated research environments that leverage advanced technologies to conduct experiments and analyze data with minimal human involvement. These environments often involve del…
Homography EstimationMotion PlanningPose EstimationHomoFM: Deep Homography Estimation with Flow Matching
Deep homography estimation has broad applications in computer vision and robotics. Remarkable progresses have been achieved while the existing methods typically treat it as a direct regression or iterative refinement pro…
Homography EstimationDomain AdaptationShelfRectNet: Single View Shelf Image Rectification with Homography Estimation
Estimating homography from a single image remains a challenging yet practically valuable task, particularly in domains like retail, where only one viewpoint is typically available for shelf monitoring and product alignme…
Homography EstimationLeCoT: revisiting network architecture for two-view correspondence pruning
Two-view correspondence pruning aims to accurately remove incorrect correspondences (outliers) from initial ones and is widely applied to various computer vision tasks. Current popular strategies adopt multilayer percept…
Homography EstimationVisual LocalizationPose EstimationRadially Distorted Homographies, Revisited
Homographies are among the most prevalent transformations occurring in geometric computer vision and projective geometry, and homography estimation is consequently a crucial step in a wide assortment of computer vision t…
Homography EstimationGeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View Geometry
Recent progress in two-view geometry increasingly emphasizes enforcing smoothness and global consistency priors when estimating motion fields between pairs of images. However, in complex real-world scenes, characterized …
Homography EstimationHomographyAD: Deep Anomaly Detection Using Self Homography Learning
Anomaly detection (AD) is a task that distinguishes normal and abnormal data, which is important for applying automation technologies of the manufacturing facilities. For MVTec dataset that is a representative AD dataset…
Anomaly DetectionHomography EstimationDeep Learning Reforms Image Matching: A Survey and Outlook
Image matching, which establishes correspondences between two-view images to recover 3D structure and camera geometry, serves as a cornerstone in computer vision and underpins a wide range of applications, including visu…
3D ReconstructionDeep LearningHomography EstimationSimultaneous Localization and Mapping+2Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation
Document alignment and registration play a crucial role in numerous real-world applications, such as automated form processing, anomaly detection, and workflow automation. Traditional methods for document alignment rely …
Anomaly DetectionHomography EstimationOptical Character RecognitionOptical Character Recognition (OCR)Decoupled Geometric Parameterization and its Application in Deep Homography Estimation
Planar homography, with eight degrees of freedom (DOFs), is fundamental in numerous computer vision tasks. While the positional offsets of four corners are widely adopted (especially in neural network predictions), this …
Homography EstimationLiftFeat: 3D Geometry-Aware Local Feature Matching
Robust and efficient local feature matching plays a crucial role in applications such as SLAM and visual localization for robotics. Despite great progress, it is still very challenging to extract robust and discriminativ…
3D geometryDepth EstimationHomography EstimationMonocular Depth Estimation+2CodingHomo: Bootstrapping Deep Homography With Video Coding
Homography estimation is a fundamental task in computer vision with applications in diverse fields. Recent advances in deep learning have improved homography estimation, particularly with unsupervised learning approaches…
Homography Estimation