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Point Cloud Registration

20 papers with code · Computer Vision

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Learning multiview 3D point cloud registration

15 Jan 2020StanfordVL/MinkowskiEngine

We present a novel, end-to-end learnable, multiview 3D point cloud registration algorithm.

POINT CLOUD REGISTRATION

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

CVPR 2019 hmgoforth/PointNetLK

To date, the successful application of PointNet to point cloud registration has remained elusive.

POINT CLOUD REGISTRATION

TEASER: Fast and Certifiable Point Cloud Registration

21 Jan 2020MIT-SPARK/TEASER-plusplus

We propose the first fast and certifiable algorithm for the registration of two sets of 3D points in the presence of large amounts of outlier correspondences.

OBJECT DETECTION POINT CLOUD REGISTRATION

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

6 Jul 2018neka-nat/probreg

Point cloud registration sits at the core of many important and challenging 3D perception problems including autonomous navigation, SLAM, object/scene recognition, and augmented reality.

AUTONOMOUS NAVIGATION POINT CLOUD REGISTRATION SCENE RECOGNITION

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

ECCV 2018 yewzijian/3DFeatNet

In this paper, we propose the 3DFeat-Net which learns both 3D feature detector and descriptor for point cloud matching using weak supervision.

POINT CLOUD REGISTRATION

Robust Point Set Registration Using Gaussian Mixture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence 2010 bing-jian/gmmreg

Then, the problem of point set registration is reformulated as the problem of aligning two Gaussian mixtures such that a statistical discrepancy measure between the two corresponding mixtures is minimized.

3D POINT CLOUD MATCHING POINT CLOUD REGISTRATION

Deep Closest Point: Learning Representations for Point Cloud Registration

ICCV 2019 WangYueFt/dcp

To address local optima and other difficulties in the ICP pipeline, we propose a learning-based method, titled Deep Closest Point (DCP), inspired by recent techniques in computer vision and natural language processing.

POINT CLOUD REGISTRATION

DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

CVPR 2019 ai4ce/DeepMapping

We propose DeepMapping, a novel registration framework using deep neural networks (DNNs) as auxiliary functions to align multiple point clouds from scratch to a globally consistent frame.

POINT CLOUD REGISTRATION

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

CVPR 2019 intellhave/SDRSAC

In particular, our work enables the use of randomized methods for point cloud registration without the need of putative correspondences.

GRAPH MATCHING POINT CLOUD REGISTRATION

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

6 Apr 2019intellhave/SDRSAC

In particular, our work enables the use of randomized methods for point cloud registration without the need of putative correspondences.

GRAPH MATCHING POINT CLOUD REGISTRATION