3d-point-clouds
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
Here are 9 public repositories matching this topic...
An OpenCV-based structured light processing toolkit.
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Apr 4, 2018 - C++
C++ library which provides data structures & algorithms for working with 3D point cloud data
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May 30, 2024 - C++
This is a lidar segmentation method based on range image.
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Jan 22, 2021 - C++
B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds
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Mar 21, 2016 - C++
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
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Jun 16, 2019 - C++
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
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Jul 9, 2020 - C++
快速3D点云分割论文代码(带注解):Fast segmentation of 3d point clouds for ground vehicles
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Jun 18, 2023 - C++
DBScan algorithm implemented using Octrees to cluster 3D points in a space.
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Apr 12, 2017 - C++