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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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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.
Review
2019
Review
2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate… Expand
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Review
2019
Review
2019
A review on deep learning techniques for 3D sensed data classification
Over the past decade deep learning has driven progress in 2D image understanding. Despite these advancements, techniques for… Expand
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Review
2019
Review
2019
A Survey on 3D Object Detection Methods for Autonomous Driving Applications
An autonomous vehicle (AV) requires an accurate perception of its surrounding environment to operate reliably. The perception… Expand
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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
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
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
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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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