mako4444

mako4444

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2D3DDataProcessing

Process and generate 2D/3D data for feature extraction/matching

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2D3DFeatureExtractionMatch

Find correspondences between 2D image features and 3D point cloud features.

License:GPL-2.0Stargazers:0Issues:2Issues:0

convolutional_occupancy_networks

[ECCV'20] Convolutional Occupancy Networks

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d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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KPConv-PyTorch

Kernel Point Convolution implemented in PyTorch

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LeGO-LOAM_NOTED

LeGO-LOAM代码注释与学习

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ORB_SLAM2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

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SplaTAM

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

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SuperGlue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

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SuperGluePretrainedNetwork_Han

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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UnityPointCloud

Point cloud visualization in Unity3D

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