Local Feature Matching

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Overview

Local feature matching identifies corresponding image locations despite changes in viewpoint, scale, rotation, lighting, or sensing modality. Systems may detect keypoints and compare descriptors, or use detector-free dense and semi-dense methods, often with transformers, coarse-to-fine refinement, and geometric filtering. They are evaluated on tasks such as homography and pose estimation, visual localization, structure from motion, and SLAM, using benchmarks including HPatches, MegaDepth, ScanNet, and WxBS. A central tension is achieving robust matches across difficult conditions while controlling runtime and memory; standard benchmark accuracy also may not predict performance under domain shifts or deployment constraints.

Latest papers

CardsList

37 papers6 papers in the last four weeks, up 20% on the four weeks before. 0.0% of all new papers.

  1. Comprehensive empirical evaluation of feature extractors in computer vision

    Oct 29, 2026Murat IsikKeypoint DetectionLocal Feature Matching

    Computer Engineering, Faculty of Engineering and Architecture, Kirsehir Ahi Evran University, Kirsehir, Turkey

  2. WovenAnchor Matcher: Specialized Intra- and Inter-Image Context Modeling for Feature Matching

    Oct 22, 2026Zhiyang Li, Ruijiang Jin, Thibaut Klenke +2Local Feature Matching

    Institute of Science Tokyo, Tokyo, Japan · Denso IT Laboratory, Tokyo, Japan

  3. Evaluation of Front-End Feature Matching for Lunar Visual SLAM

    Oct 22, 2026Guillem Casadesus Vila, Grace GaoPlanetary Rover RoboticsLocal Feature Matching

    Department of Aeronautics and Astronautics, Stanford University, Stanford, CA, United States

  4. CLAD: Keypoint Matching Using Global Line Correspondences

    Oct 15, 2026Masaki SatohImage MatchingLocal Feature Matching

    Morpho, Inc. Tokyo, Japan

  5. Towards Complementary Keypoint Detection via Mixture of Detectors

    Oct 12, 2026Xiaoyong Lu, Guobao Xiao, Dong Liang +1Keypoint DetectionMixture of Experts

    Southeast University · Tongji University · Nanjing University of Aeronautics and Astronautics

  6. WildMatch: Weakly Supervised Image Matcher Adaptation for Wildlife Re-Identification

    Oct 5, 2026Turhan Can Kargin, Piotr Kubaty, Ekaterina Rostovskaya +3Animal Re-IdentificationImage Matching

    Faculty of Mathematics and Computer Science, Jagiellonian University, Poland · Doctoral School of Exact and Natural Sciences, Jagiellonian University, Poland · Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland +2

  7. UltraMatch: Transport Path Routing for Ultra-Fast and Memory-Efficient Image Matching

    Sep 29, 2026Jiajun Le, Yifan Lu, Zizhuo Li +3Image MatchingMemory-Efficient Inference

    Electronic Information School, Wuhan University, China · Xiaomi Corporation, China · School of Computer Science and Technology, Harbin Institute of Technology, China +1

  8. Know-Your-Scene (KYS)-SLAM: Hierarchical Semantic-Motion Priors for Feature Matching in Stereo Visual SLAM

    Sep 23, 2026Preeti Chatterjee, Jin Lu, Jin Sun +1Dynamic SLAMVisual SLAM

    School of Computing, University of Georgia Athens, GA 30602, USA

  9. MatcherCompass: A Deployment-Aware Benchmark to Guide Image Matcher Selection in the Wild

    Sep 22, 2026Hyunwoo Kim, Giseop KimImage MatchingCross-Modal Feature Matching

    Department of Robotics and Mechatronics Engineering, DGIST, Daegu, Republic of Korea

  10. RoMa-ΩΩ: What Feed-Forward 3D Models Know About Image Matching

    Sep 8, 2026David Nordström, Xinyue Zhang, Thibaut Loiseau +2Image Matching3D Representation Learning

    Chalmers University of Technology, Sweden · Mobile Perception Lab, ShanghaiTech University, China · LIGM, Ecole des Ponts, Univ. Gustave Eiffel, CNRS, France

  11. Back to the Feature: Zero-Shot 6DoF Pose Estimation via Dense Local Features

    Sep 6, 2026Ali Rafiaei, Michael GreenspanObject Pose EstimationLocal Feature Matching

    Dept. Electrical & Computer Engineering, Ingenuity Labs Queen’s University Kingston, ON, Canada

  12. CrossFeat: Bridging Imaging Modalities in Feature Descriptor Space

    Aug 31, 2026Paul Schneider, Nazim HaouchineCross-Modal Representation LearningMultimodal Disentangled Representation Learning

    Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA · Technical University of Munich, Munich, Germany

  13. Unified and Efficient Point-Line Local Features

    Aug 20, 2026François Costa, Raphael Kreft, Eckhard Goedeke +6Local Feature MatchingKeypoint Detection

    Department of Computer Science, ETH Zurich, Switzerland · Microsoft Spatial AI Lab

  14. Robust structure from motion for aerial-ground images via detector-free feature matching and multi-view track refinement

    Aug 15, 2026San Jiang, Hui Wang, Xing Zhang +5Structure from MotionMulti-View 3D Reconstruction

    School of Architecture and Urban Planning, Shenzhen University, Guangdong Shenzhen, 518060, China · Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Guangdong Shenzhen, 518060, China · MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518060, China +3

  15. XFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher

    Aug 10, 2026Lazar Đoković, Aimee LinImage MatchingLocal Feature Matching

    Faculty of Computer and Information Science University of Ljubljana

  16. SGFormer: Structure-Guided Transformer for Robust Local Feature Matching

    Aug 4, 2026Runyu ZhuImage MatchingLocal Feature Matching

  17. HOME: Robust Hough-space Matching Method for Structured and Textureless Videos

    Jul 28, 2026Masaki SatohImage MatchingLocal Feature Matching

    Morpho, Inc. Tokyo, Japan

  18. RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs

    Jul 22, 2026Xin Li, Siyuan Duan, Shang Wang +3Cross-View Geo-LocalizationVisual Place Recognition

    Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710119, China · University of Chinese Academy of Sciences, Beijing, 100049, China

  19. Adaptive Contrast Enhancement and Optimised Feature Matching for RootSIFT-Based Palm-Vein Recognition

    Jul 17, 2026Kaveen Perera, Fouad Khelifi, Ammar BelatrecheBiometric IdentificationImage Enhancement

    Computer & Information Sciences Department University of Northumbria at Newcastle, United Kingdom

  20. Hough-SIFT: Robust Image Registration for Linear Structures via Hough Space

    Jul 16, 2026Masaki SatohImage MatchingLocal Feature Matching

    Morpho, Inc. Tokyo, Japan

  21. Desc++: Efficient Descriptor Enhancement for Data Association in Existing Visual SLAM Systems

    Jul 13, 2026Ting-Wei Ou, Huang-Ting Lin, Kuu-Young YoungVisual SLAMLocal Feature Matching

  22. A Vision Based System for Guided and Collaborative Reconstruction of Fragmented Documents

    Jul 3, 2026Oliver Krumpek, Diana LeoHuman-Robot CollaborationCultural Heritage

    Fraunhofer IPK, dept. Machine Vision, Pascalstr. 8-9, 10587 Berlin, Germany

  23. SAMatcher: Co-Visibility Modeling with Segment Anything for Robust Feature Matching

    Jun 2, 2026Xu Pan, Qiyuan Ma, Mingyue Dong +3Multi-View GeometryImage Matching

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, P. R. China · National Key Laboratory of Space Target Awareness, Space Engineering University, Beijing, P. R. China

  24. PySIFT: GPU-Resident Deterministic SIFT for Deep Learning Vision Pipelines

    May 18, 2026Sivakumar K. S., Mohammad Daniyalur Rahman, Gopi Raju MattaGPU AccelerationImage Matching

    1Indian Institute of Technology Madras

  25. Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras

    Apr 20, 2026Ruijun Zhang, Hang Su, Kostas Daniilidis +1Event-Based VisionDomain Generalization

    Johns Hopkins University, Baltimore MD 21218, USA · ShanghaiTech University, Shanghai, China · University of Pennsylvania, Philadelphia PA 19104, USA +1

  26. SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation

    Apr 15, 2026Songlin Du, Xiaoyong Lu, Yaping Yan +3Image MatchingCross-View Image Matching

    School of Automation, Southeast University, Nanjing 210096, China · Shenzhen Research Institute of Southeast University, Shenzhen 518063, China · School of Computer Science and Engineering, Southeast University, Nanjing 210096, China +2

  27. Who Handles Orientation? Investigating Invariance in Feature Matching

    Apr 13, 2026David Nordström, Johan Edstedt, Fredrik Kahl +1Image MatchingLocal Feature Matching

    Chalmers University of Technology · Linköping University · University of Amsterdam

  28. Mathematical Analysis of Image Matching Techniques

    Apr 8, 2026Oleh SamoilenkoImage MatchingLocal Feature Matching

    Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

  29. Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency

    Apr 8, 2026Ke Jin, Jiming Chen, Qi YeImage MatchingLocal Feature Matching

    State Key Laboratory of Industrial Control Technology, Zhejiang University.

  30. LoMa: Local Feature Matching Revisited

    Apr 6, 2026David Nordström, Johan Edstedt, Georg Bökman +6Multi-View GeometryImage Matching

    Chalmers University of Technology · Linköping University · University of Amsterdam +1