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PointMixup: Augmentation for Point Clouds [PDF]

open access: yes, 2020
This paper introduces data augmentation for point clouds by interpolation between examples. Data augmentation by interpolation has shown to be a simple and effective approach in the image domain. Such a mixup is however not directly transferable to point clouds, as we do not have a one-to-one correspondence between the points of two different objects ...
Chen, Y.   +6 more
openaire   +5 more sources

MPCR-Net: Multiple Partial Point Clouds Registration Network Using a Global Template

open access: yesApplied Sciences, 2021
With advancements in photoelectric technology and computer image processing technology, the visual measurement method based on point clouds is gradually being applied to the 3D measurement of large workpieces. Point cloud registration is a key step in 3D
Shijie Su   +4 more
doaj   +1 more source

DPDist: Comparing Point Clouds Using Deep Point Cloud Distance [PDF]

open access: yes, 2020
We introduce a new deep learning method for point cloud comparison. Our approach, named Deep Point Cloud Distance (DPDist), measures the distance between the points in one cloud and the estimated surface from which the other point cloud is sampled. The surface is estimated locally and efficiently using the 3D modified Fisher vector representation.
Yizhak Ben-Shabat   +2 more
openaire   +4 more sources

Open-Vocabulary Point-Cloud Object Detection without 3D Annotation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
The goal of open-vocabulary detection is to identify novel objects based on arbitrary textual descriptions. In this paper, we address open-vocabulary 3D point-cloud detection by a dividing-and-conquering strategy, which involves: 1) developing a point ...
Yuheng Lu   +6 more
semanticscholar   +1 more source

POINT CLOUD SERVER (PCS) : POINT CLOUDS IN-BASE MANAGEMENT AND PROCESSING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Abstract. In addition to the traditional Geographic Information System (GIS) data such as images and vectors, point cloud data has become more available. It is appreciated for its precision and true three-Dimensional (3D) nature. However, managing the point cloud can be difficult due to scaling problems and specificities of this data type.
Nicolas Paparoditis   +2 more
openaire   +4 more sources

COMPARISON OF UAV IMAGERY-DERIVED POINT CLOUD TO TERRESTRIAL LASER SCANNER POINT CLOUD [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
A small unmanned aerial vehicle (UAV) with survey-grade GNSS positioning is used to produce a point cloud for topographic mapping and 3D reconstruction.
S. Peterson, J. Lopez, R. Munjy
doaj   +1 more source

Real3D-AD: A Dataset of Point Cloud Anomaly Detection [PDF]

open access: yesNeural Information Processing Systems, 2023
High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing. Despite some methodological advances in this area, the scarcity of datasets and the lack of a systematic ...
Jiaqi Liu   +7 more
semanticscholar   +1 more source

Virtual Namesake Point Multi-Source Point Cloud Data Fusion Based on FPFH Feature Difference

open access: yesSensors, 2021
There are many sources of point cloud data, such as the point cloud model obtained after a bundle adjustment of aerial images, the point cloud acquired by scanning a vehicle-borne light detection and ranging (LiDAR), the point cloud acquired by ...
Li Zheng, Zhukun Li
doaj   +1 more source

Attention-Based Point Cloud Edge Sampling [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.
Chengzhi Wu   +3 more
semanticscholar   +1 more source

Point Cloud Classification Algorithm Based on the Fusion of the Local Binary Pattern Features and Structural Features of Voxels

open access: yesRemote Sensing, 2021
Point cloud classification is a key technology for point cloud applications and point cloud feature extraction is a key step towards achieving point cloud classification.
Yong Li   +5 more
doaj   +1 more source

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