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Three Dimensional Change Detection Using Point Clouds: A Review [PDF]

open access: yesGeomatics, 2022
Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant ...
Florent Poux   +2 more
exaly   +2 more sources

Point cloud databases

Proceedings of the 26th International Conference on Scientific and Statistical Database Management, 2014
We introduce the concept of the point cloud database, a new kind of database system aimed primarily towards scientific applications. Many scientific observations, experiments, feature extraction algorithms and large-scale simulations produce enormous amounts of data that are better represented as sparse (but often highly-clustered) points in a k ...
László Dobos 0001   +4 more
openaire   +2 more sources

On the Visibility of Point Clouds

2015 IEEE International Conference on Computer Vision (ICCV), 2015
Is it possible to determine the visible subset of points directly from a given point cloud? Interestingly, in [7] it was shown that this is indeed the case - despite the fact that points cannot occlude each other, this task can be performed without surface reconstruction or normal estimation. The operator is very simple - it first transforms the points
Sagi Katz, Ayellet Tal
openaire   +1 more source

Harmonic Extension on The Point Cloud

Multiscale Modeling & Simulation, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zuoqiang Shi   +2 more
openaire   +2 more sources

Deep Learning for 3D Point Clouds: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Yulan Guo, Mohammed Bennamoun
exaly  

Change detection of urban objects using 3D point clouds: A review

ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Yusheng Xu, Uwe Stilla
exaly  

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