Results 31 to 40 of about 18,303 (165)
EXPLORING THE POTENTIALS OF UAV PHOTOGRAMMETRIC POINT CLOUDS IN FAÇADE DETECTION AND 3D RECONSTRUCTION OF BUILDINGS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The use of Airborne Laser Scanner (ALS) point clouds has dominated 3D buildings reconstruction research, thus giving photogrammetric point clouds less attention.
K. K. Mwangangi +3 more
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3D‐FEGNet: A feature enhanced point cloud generation network from a single image
IET Computer Vision, 2023 Deep learning‐based single view 3D reconstruction is a hot topic in computer vision. However, predicting a more realistic 3D point cloud from a single image is an ill‐posed problem.
Ende Wang +4 more
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Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds
International Journal of Applied Earth Observations and Geoinformation, 2021 Due to the advantages of 3D point clouds over 2D optical images, the related researches on scene understanding in 3D point clouds have been increasingly attracting wide attention from academy and industry.
Huan Luo +6 more
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3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion
International Journal of Applied Earth Observations and Geoinformation, 2023 The high-precision generation of 3D building models is a controversial research topic in the field of smart cities. However, due to the limitations of single-source data, existing methods cannot simultaneously balance the local accuracy, overall ...
Weiquan Liu +9 more
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Machine Learning in LiDAR 3D Point Clouds [PDF]
, 2021 LiDAR point clouds contain measurements of complicated natural scenes and can be used to update digital elevation models, glacial monitoring, detecting faults and measuring uplift detecting, forest inventory, detect shoreline and beach volume changes, landslide risk analysis, habitat mapping, and urban development, among others.
F. Patricia Medina, Randy C. Paffenroth
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Can 3D Point Clouds Replace GCPs? [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Over the past decade, large-scale photogrammetric products have been extensively used for the geometric documentation of cultural heritage monuments, as they combine metric information with the qualities of an image document.
G. Stavropoulou +2 more
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A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds
Remote Sensing, 2022 The recent popularization of airborne lidar scanners has provided a steady source of point cloud datasets containing the altitudes of bare earth surface and vegetation features as well as man-made structures.
Marek Kulawiak
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3D adversarial attacks beyond point cloud
Information Sciences, 2023 Recently, 3D deep learning models have been shown to be susceptible to adversarial attacks like their 2D counterparts. Most of the state-of-the-art (SOTA) 3D adversarial attacks perform perturbation to 3D point clouds. To reproduce these attacks in the physical scenario, a generated adversarial 3D point cloud need to be reconstructed to mesh, which ...
Jinlai Zhang +7 more
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CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Abstract. We present a powerful method to extract per-point semantic class labels from aerial photogrammetry data. Labelling this kind of data is important for tasks such as environmental modelling, object classification and scene understanding. Unlike previous point cloud classification methods that rely exclusively on geometric features, we show that
C. Becker +4 more
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3D Component Segmentation Network and Dataset for Non-Cooperative Spacecraft
Aerospace, 2022 Spacecraft component segmentation is one of the key technologies which enables autonomous navigation and manipulation for non-cooperative spacecraft in OOS (On-Orbit Service). While most of the studies on spacecraft component segmentation are based on 2D
Guangyuan Zhao +4 more
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