Results 31 to 40 of about 6,440,801 (359)
PointMixup: Augmentation for Point Clouds [PDF]
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
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]
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]
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]
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]
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]
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
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]
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 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