#
pointcloud
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 235 public repositories matching this topic...
Open3D: A Modern Library for 3D Data Processing
visualization
python
machine-learning
arm
gui
opengl
cpp
tensorflow
gpu
rendering
computer-graphics
cuda
pytorch
registration
reconstruction
3d
odometry
pointcloud
mesh-processing
3d-perception
-
Updated
Mar 30, 2021 - C++
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
-
Updated
Jun 18, 2019 - C++
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
machine-learning
deep-neural-networks
robotics
point-cloud
classification
segmentation
convolutional-neural-networks
autonomous-driving
shapenet
pointcloud
scannet
-
Updated
May 7, 2020 - Python
Web labeling tool for bitmap images and point clouds
machine-learning
semantic-segmentation
manual-annotations
pointcloud
pcd
image-labeling
labeling-tool
image-labeling-tool
-
Updated
Mar 8, 2021 - JavaScript
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
-
Updated
Mar 27, 2021 - Python
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
-
Updated
Oct 27, 2020 - Python
civilizemars
commented
Mar 5, 2021
Context
The simple-globe APIs gave me 403 errors and I can't get an API key.
So I wanted to test alternative WMTS sources, specifially Mars maps from NASA:
My question is, how I could adopt itowns to work with the {z}/{y}/{x} Maptile format.
loam code noted in Chinese（loam中文注解版）
-
Updated
Oct 9, 2019 - C++
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
-
Updated
Mar 26, 2020 - JavaScript
LiDAR SLAM: Scan Context + LeGO-LOAM
cpp
mapping
loop
lidar
slam
place-recognition
odometry
pointcloud
gtsam
loam
iros
lidar-slam
mulran-dataset
-
Updated
Nov 19, 2020 - C++
C++ implementation of the Coherent Point Drift point set registration algorithm.
-
Updated
Nov 19, 2020 - C++
[CVPR 2020 Oral] A differentiable framework for 3D registration
-
Updated
Aug 3, 2020 - Python
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
-
Updated
Mar 7, 2021 - C++
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
-
Updated
Mar 17, 2021 - Makefile
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
graph
point-cloud
convolutional-neural-networks
graph-convolutional-networks
gcn
pointcloud
gcnn
graph-convolutional-network
graph-cnn
3d-classification
graph-convolutional-neural-networks
-
Updated
Sep 19, 2018 - Python
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
javascript
multi-platform
web
annotation
tool
interpolation
detection
point-cloud
automatic
autonomous-driving
mechanical-turk
3d
2d
active-learning
pointcloud
semi-automatic
surround
3d-object-detection
bounding-box
multi-view
-
Updated
Mar 19, 2021 - JavaScript
Full-python LiDAR SLAM using ICP and Scan Context
-
Updated
Aug 12, 2020 - Python
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
computer-vision
computer-graphics
structure-from-motion
sfm
point-cloud
reconstruction
multi-view-stereo
photogrammetry
pointcloud
3d-modelling
mvs
image-based-modeling
multiview-stereo
-
Updated
Mar 28, 2021 - C++
-
Updated
Feb 16, 2020 - Python
[TensorFlow] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
-
Updated
Sep 8, 2020 - Python
HelloSar
commented
Sep 9, 2020
Hello, where can I download this dataset?
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
-
Updated
Dec 20, 2019 - Python
Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding
-
Updated
Jun 3, 2020 - C++
A point-cloud made from 3d data with Metal.
-
Updated
Apr 16, 2019 - Swift
Polylidar3D - Fast polygon extraction from 3D Data
-
Updated
Mar 30, 2021 - C++
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
machine-learning
deep-neural-networks
research
deep-learning
tensorflow
cuda
segmentation
research-paper
shapenet
3d-point-clouds
pointcloud
pointcloudprocessing
-
Updated
Jun 16, 2019 - C++
An option would be to call
computeTransformedPointCloudWithoutNormalinside theHasNoNormalvariant (in addition to the warning) and/or to only allow settinguse_normal_to true if the point actually has a normal insidesetUseNormalOriginally posted by @mvieth in PointCloudLibrary/pcl#4643
Slightly edited by @kunaltyagi