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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… Expand
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Related topics

Related topics

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Broader (1)

3D computer graphics
3D scanner3DelightAlpha shapeAvizo
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2008
Highly Cited
2008
Towards 3D Point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The… Expand
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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… Expand
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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… Expand
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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… Expand
Highly Cited
2006
Highly Cited
2006
Octree-based Point-Cloud Compression
In this paper we present a progressive compression method for point sampled models that is specifically apt at dealing with… Expand
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Highly Cited
2001
Highly Cited
2001
3D BUILDING MODEL RECONSTRUCTION FROM POINT CLOUDS AND GROUND PLANS
Airborne laser altimetry has become a very popular technique for the acquisition of digital elevation models. The high point… Expand
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