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Point cloud

Known as: Point cloud scanning, Point clouds, Cloud (disambiguation) 
A point cloud is a set of data points in some coordinate system. In a three-dimensional coordinate system, these points are usually defined by X, Y… 
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Broader (1)

3D computer graphics
3D scanner3DelightAlpha shapeAvizo

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Dynamic Graph CNN for Learning on Point Clouds
Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also… 
Highly Cited
2019
Highly Cited
2019
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages… 
Highly Cited
2019
Highly Cited
2019
PointPillars: Fast Encoders for Object Detection From Point Clouds
Object detection in point clouds is an important aspect of many robotics applications such as autonomous driving. In this paper… 
Highly Cited
2019
Highly Cited
2019
KPConv: Flexible and Deformable Convolution for Point Clouds
We present Kernel Point Convolution (KPConv), a new design of point convolution, i.e. that operates on point clouds without any… 
Highly Cited
2018
Highly Cited
2018
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation… 
Highly Cited
2018
Highly Cited
2018
Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale point clouds of… 
Highly Cited
2018
Highly Cited
2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
We present a network architecture for processing point clouds that directly operates on a collection of points represented as a… 
Highly Cited
2008
Highly Cited
2008
Aligning point cloud views using persistent feature histograms
In this paper we investigate the usage of persistent point feature histograms for the problem of aligning point cloud data views… 
Highly Cited
2008
Highly Cited
2008
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues… 
Highly Cited
2007
Highly Cited
2007
Efficient RANSAC for Point‐Cloud Shape Detection
In this paper we present an automatic algorithm to detect basic shapes in unorganized point clouds. The algorithm decomposes the… 
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