A list of point set matching/registration resources collected by Gang Wang. If you find that important resources are not included, please feel free to contact me.
Point Set Matching/Registration Methods
Point Matching/Registration Methods
- [ICP] A Method for Registration of 3-D Shapes, TPAMI’1992
- [RPM] New algorithms for 2d and 3d point matching: pose estimation and correspondence, PR’1998
- [SC] Shape matching and object recognition using shape contexts, TPAMI’2002
- [RPM-TPS] A new point matching algorithm for non-rigid registration, CVIU’2003
- [KC] A correlation-based approach to robust point set registration, ECCV’2004
- [RPM-PLNS] Robust point matching for nonrigid shapes by preserving local neighborhood structures, TPAMI’2006
- [GF] A new method for the registration of three-dimensional point-sets: The Gaussian fields framework, IVC’2010
- [QPCCP] A quadratic programming based cluster correspondence projection algorithm for fast point matching, CVIU’2010
- [CPD] Point set registration: Coherent point drift, TPAMI’2010
- [GMMReg/L2E-TPS] Robust point set registration using gaussian mixture models, TPAMI’2011
- [RPM-L2E] Robust estimation of nonrigid transformation for point set registration, CVPR’2013
- [GO-ICP] Go-ICP: Solving 3D Registration Efficiently and Globally Optimally, ICCV’2013
- [RPM-VFC] Robust Point Matching via Vector Field Consensus, TIP’2014
- [MoAGReg] A robust non-rigid point set registration method based on asymmetric gaussian representation, CVIU’2015
- [GLMD-TPS] A robust global and local mixture distance based non-rigid point set registration, PR’2015
- [GO-APM] An Efficient Globally Optimal Algorithm for Asymmetric Point Matching, TPAMI’2016
- [PR-GLS] Non-Rigid Point Set Registration by Preserving Global and Local Structures, TIP’2016
- [PM] Probabilistic Model for Robust Affine and Non-rigid Point Set Matching, TPAMI’2016
- [SCGF] Robust Non-rigid Point Set Registration Using Spatially Constrained Gaussian Fields, TIP’2017
- [LPM] Locality preserving matching, IJCV’2018
Mismatch Removal Methods
- [RANSAC] Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, 1981
- [MLESAC] MLESAC: A new robust estimator with application to estimating image geometry, CVIU’2000
- [PROSAC] Matching with PROSAC-progressive sample consensus, CVPR’2005
- [ICF] Rejecting mismatches by correspondence function, IJCV’2010
- [GS] Common visual pattern discovery via spatially coherent correspondences, CVPR’2010
- [VFC] A robust method for vector field learning with application to mismatch removing, CVPR’2011
- [DefRANSAC] In defence of RANSAC for outlier rejection in deformable registration, ECCV’2012
- [TC] Epipolar geometry estimation for wide baseline stereo by Clustering Pairing Consensus, PRL’2014
- [WxBS] WxBS: Wide Baseline Stereo Generalizations, BMVC’2015
- [GFC] Gaussian Field Consensus: A Robust Nonparametric Matching Method for Outlier Rejection, PR’2018
Graph Matching Methods
- [SM] A spectral technique for correspondence problems using pairwise constraints, ICCV’2005 [code]
- [SM-MAP] Efficient MAP approximation for dense energy functions, ICML’2006 [code]
- [SMAC] Balanced Graph Matching, NIPS’2006 [code]
- [FCGM] Feature correspondence via graph matching: Models and global optimization, ECCV’2008
- [PM] Probabilistic Graph and Hypergraph Matching, CVPR’2008
- [IPFP] An Integer Projected Fixed Point Method for Graph Matching and MAP Inference, NIPS’2009 [code]
- [RRWM] Reweighted Random Walks for Graph Matching, ECCV’2010
- [FGM] Factorized graph matching, CVPR’2012 [code]
- [DGM] Deformable Graph Matching, CVPR’2013 [code]
- [MS] Progressive mode-seeking on graphs for sparse feature matching, ECCV’2014
Other Related Works
- [RootSIFT] Three things everyone should know to improve object retrieval, CVPR’2012 [related code]
- [DM-CNN] Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT, arXiv’2014
- [DASC] DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation, TPAMI’2017 [project]
- [MODS] MODS: Fast and Robust Method for Two-View Matching, CVIU’2015 [project] [github]
- [Elastic2D3D] Efficient Globally Optimal 2D-to-3D Deformable Shape Matching, CVPR’2016 [project]
- [TCDCN] Facial Landmark Detection by Deep Multi-task Learning, ECCV’2014 [project]
deep features
- [TFeat] Learning local feature descriptors with triplets and shallow convolutional neural networks, BMVC’2016 [github]
- [L2-Net] L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space, CVPR’2017 [github]
- [HardNet] Working hard to know your neighbor’s margins: Local descriptor learning loss, CVPR’2018 [github]
- [AffNet] Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability, ECCV’2018 [github]
Applications
Remote Sensing Image Registration
- [LLT] Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming, TGRS’2015
- [GLPM] Guided Locality Preserving Feature Matching for Remote Sensing Image Registration, TGRS’2018
Retinal Image Registration
- [DB-ICP] The dual-bootstrap iterative closest point algorithm with application to retinal image registration, TMI’2003
- [GDB-ICP] Registration of Challenging Image Pairs: Initialization, Estimation, and Decision, TPAMI’2007 [project]
- [ED-DB-ICP] The edge-driven dual-bootstrap iterative closest point algorithm for registration of multimodal fluorescein angiogram sequence, TMI’2010
- [RPM-SURFPIIFD] Robust point matching method for multimodal retinal image registration, BSPC’2015
Visual Homing Navigation
- [GLPM] Visual Homing via Guided Locality Preserving Matching, ICRA’2018
HDR Imaging
- [LNR] Locally non-rigid registration for mobile HDR photography, CVPRW’2015
Databases
Classical databases
- 2D Synthesized Chui-Rangarajan Dataset (deformation, noise, and outliers)
- TOSCA
- Multi-View Stereo Dataset
- Multi-View Stereo for Community Photo Collections
- VGG Affine Datasets
- Multi-view VGG’s Dataset
- Oxford Building Reconstruction
- IMM Datasets
- MPEG7 CE Shape-1 Part B
- Leaf Shapes Database
- [CMU House/Hotel Sequence Images]
- Generated Matching Dataset
- Image Sequences
- Mythological creatures 2D
- Tools 2D
- Human face
- Cars & Motorbikes
- DIML Multimodal Benchmark
- Street View Dataset [github] [data]
- EVD: Extreme View Dataset [EVD_tentatives] [EZD]
- WxBS: Wide Baseline Dataset [W1BS]
- Stanford 3D Scanning
- MPI FAUST Dataset
- Mikolajczyk Database
- Panoramic Image Database
- PS-Dataset (A Large Dataset for improving Patch Matching, PhotoSynth Dataset for improving local patch Descriptors)