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Point Cloud Registration

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하위 태스크: 1
평가표: 24
보존된 평가 기록: 190

Point Cloud Registration is a fundamental problem in 3D computer vision and photogrammetry. Given several sets of points in different coordinate systems, the aim of registration is to find the transformation that best aligns all of them into a common coordinate system. Point Cloud Registration plays a significant role in many vision applications such as 3D model reconstruction, cultural heritage management, landslide monitoring and solar energy analysis.

Source: Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/hkust-aerial-robotics/pagor

공식 코드

Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap

https://github.com/hmgoforth/PointNetLK

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PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

https://github.com/horizon-research/pointcloud-pipeline

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Tigris: Architecture and Algorithms for 3D Perception in Point Clouds

https://github.com/huangjh-pub/synorim

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Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization

https://github.com/hui-design/hd2reg

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HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration

https://github.com/humanpose1/MS-SVConv

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3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning

https://github.com/hxwork/HybridReg_PyTorch

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HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions

https://github.com/iit-DLSLab/SANDRO

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SANDRO: a Robust Solver with a Splitting Strategy for Point Cloud Registration

https://github.com/intellhave/SDRSAC

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SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences

https://github.com/irmvlab/regformer

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RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration

https://github.com/ispc-lab/HRegNet

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HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

https://github.com/ispc-lab/RSKDD-Net

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RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

https://github.com/itailang/SampleNet

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SampleNet: Differentiable Point Cloud Sampling

https://github.com/itanhe/deepbbs

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DeepBBS: Deep Best Buddies for Point Cloud Registration

https://github.com/ivanxie416/cmignet

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Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration

https://github.com/ivanxie416/ifnet

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Iterative Feedback Network for Unsupervised Point Cloud Registration

https://github.com/jiahaowork/idam

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Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration

https://github.com/jiang-hb/cemnet

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Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration

https://github.com/jianqingzheng/path_planning_for_FEVAR

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3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair

https://github.com/jiaweihe1996/GMTracker

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Learnable Graph Matching: A Practical Paradigm for Data Association

https://github.com/joshnguyen99/partialot

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On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

https://github.com/karim416/LoGDesc

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LoGDesc: Local geometric features aggregation for robust point cloud registration

https://github.com/kezheng1204/integer

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Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration

https://github.com/laka-3dv/ml-semreg

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ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency

https://github.com/langnatalie/DeepUME

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DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration

https://github.com/leisun-98/daniel

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DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios

https://github.com/leisun-98/tivm-master

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Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance Maximization

https://github.com/lijx10/DeepI2P

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DeepI2P: Image-to-Point Cloud Registration via Deep Classification

https://github.com/lilin-hitcrt/bevnet

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A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation

https://github.com/linchengweiii/CFReg

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Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations

https://github.com/liuquan98/apr

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APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction

https://github.com/liuquan98/eyoc

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Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension

https://github.com/liuquan98/gcl

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Density-invariant Features for Distant Point Cloud Registration

https://github.com/liyih/hybridpoint

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HybridPoint: Point Cloud Registration Based on Hybrid Point Sampling and Matching

https://github.com/luxiya01/mbes-registration-data

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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration

https://github.com/maanighaffari/c-sensor-registration

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Nonparametric Continuous Sensor Registration

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