Difference between revisions of "Point Cloud"
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* [http://arxiv.org/pdf/1904.07601.pdf RS-CNN: Relation-Shape Convolutional Neural Network for Point Cloud Analysis | Y. Liu, B. Fin, S. Xiang, and C. Pan - University of Chinese Academy of Sciences] | * [http://arxiv.org/pdf/1904.07601.pdf RS-CNN: Relation-Shape Convolutional Neural Network for Point Cloud Analysis | Y. Liu, B. Fin, S. Xiang, and C. Pan - University of Chinese Academy of Sciences] | ||
* [http://pointclouds.org/ Point Cloud Library (PCL)] is a standalone, large scale, open project for 2D/3D image and point cloud processing. | * [http://pointclouds.org/ Point Cloud Library (PCL)] is a standalone, large scale, open project for 2D/3D image and point cloud processing. | ||
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* [[Screening; Passenger & Luggage]] | * [[Screening; Passenger & Luggage]] | ||
* [[3D Model]] e.g. [[3D Model#3DCNN | 3DCNN]] | * [[3D Model]] e.g. [[3D Model#3DCNN | 3DCNN]] | ||
* [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]] | * [[Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning]] | ||
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A point cloud is a set of data points in space. Point clouds are generally produced by 3D scanners, which measure a large number of points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, for metrology and quality inspection, and for a multitude of visualization, animation, rendering and mass customization applications. [A point cloud is a set of data points in space. Point clouds are generally produced by 3D scanners, which measure a large number of points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, for metrology and quality inspection, and for a multitude of visualization, animation, rendering and mass customization applications. [http://en.wikipedia.org/wiki/Point_cloud Point Cloud] and [http://en.wikipedia.org/wiki/List_of_programs_for_point_cloud_processing List of programs for Point Cloud processing | Wikipedia] | A point cloud is a set of data points in space. Point clouds are generally produced by 3D scanners, which measure a large number of points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, for metrology and quality inspection, and for a multitude of visualization, animation, rendering and mass customization applications. [A point cloud is a set of data points in space. Point clouds are generally produced by 3D scanners, which measure a large number of points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, for metrology and quality inspection, and for a multitude of visualization, animation, rendering and mass customization applications. [http://en.wikipedia.org/wiki/Point_cloud Point Cloud] and [http://en.wikipedia.org/wiki/List_of_programs_for_point_cloud_processing List of programs for Point Cloud processing | Wikipedia] | ||
http://upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Point_cloud_torus.gif/220px-Point_cloud_torus.gif | http://upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Point_cloud_torus.gif/220px-Point_cloud_torus.gif | ||
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<youtube>KHYnC6t0boQ</youtube> | <youtube>KHYnC6t0boQ</youtube> | ||
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<youtube>pV-4xtirZCc</youtube> | <youtube>pV-4xtirZCc</youtube> | ||
<youtube>Jz2jXect_7I</youtube> | <youtube>Jz2jXect_7I</youtube> | ||
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| + | == SPLATNet == | ||
| + | * [http://github.com/NVlabs/splatnet SPLATNet: Sparse Lattice Networks for Point Cloud Processing | NVIDIA - GitHub] | ||
| + | <youtube>rKL7cmJP0bg</youtube> | ||
http://news.developer.nvidia.com/wp-content/uploads/2018/06/splatnet.png | http://news.developer.nvidia.com/wp-content/uploads/2018/06/splatnet.png | ||
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| + | == [http://github.com/charlesq34/pointnet PointNet] == | ||
| + | * [http://github.com/charlesq34/pointnet PointNet | C. Qi, H. Su, K. Mo, and L. Guibas - Stanford -GitHub] deep learning on point sets for 3D classification and segmentation | ||
| + | * [http://stanford.edu/~rqi/pointnet2/ PointNet++: deep hierarchical feature learning on point sets in a metric space | C. Qi, L. Yi, H. Su, and L. Guibas - Stanford] | ||
| + | <youtube>Cge-hot0Oc0</youtube> | ||
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| + | == [http://arxiv.org/abs/1609.06666 Vote3Deep] == | ||
| + | * [http://github.com/lijiannuist/Vote3Deep_lidar Vote3Deep LIDAR] | ||
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| + | <youtube>WUOSmAfeXIw</youtube> | ||
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| + | == [http://github.com/BichenWuUCB/SqueezeSeg SqueezeSeg] == | ||
| + | <youtube>Xyn5Zd3lm6s</youtube> | ||
http://www-cdn.qwertee.io/media/uploads/blog/deep_learning_with_point_clouds/pointnet_architecture.png | http://www-cdn.qwertee.io/media/uploads/blog/deep_learning_with_point_clouds/pointnet_architecture.png | ||
http://stanford.edu/~rqi/pointnet2/images/pnpp.jpg | http://stanford.edu/~rqi/pointnet2/images/pnpp.jpg | ||
Revision as of 12:22, 28 July 2019
Youtube search... ...Google search
- Deep learning with point clouds | Romain Thalineau - qwertee.io
- RS-CNN: Relation-Shape Convolutional Neural Network for Point Cloud Analysis | Y. Liu, B. Fin, S. Xiang, and C. Pan - University of Chinese Academy of Sciences
- Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing.
- Screening; Passenger & Luggage
- 3D Model e.g. 3DCNN
- Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning
A point cloud is a set of data points in space. Point clouds are generally produced by 3D scanners, which measure a large number of points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, for metrology and quality inspection, and for a multitude of visualization, animation, rendering and mass customization applications. [A point cloud is a set of data points in space. Point clouds are generally produced by 3D scanners, which measure a large number of points on the external surfaces of objects around them. As the output of 3D scanning processes, point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, for metrology and quality inspection, and for a multitude of visualization, animation, rendering and mass customization applications. Point Cloud and List of programs for Point Cloud processing | Wikipedia
Contents
SPLATNet
PointNet
- PointNet | C. Qi, H. Su, K. Mo, and L. Guibas - Stanford -GitHub deep learning on point sets for 3D classification and segmentation
- PointNet++: deep hierarchical feature learning on point sets in a metric space | C. Qi, L. Yi, H. Su, and L. Guibas - Stanford
Vote3Deep
SqueezeSeg
