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Generating 3D Adversarial Point Clouds [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examples for 2D images and CNNs have been extensively studied, less attention has been paid to 3D data such as point clouds.
Chong Xiang 0001 +2 more
openaire +3 more sources
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
doaj +1 more source
Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform [PDF]
, 2013 We present a new approach to extracting moving spheres from a sequence of 3D point clouds. The new 3D velocity Hough Transform (3DVHT) incorporates motion parameters in addition to structural parameters in an evidence gathering process to accurately ...
Mark S. Nixon +7 more
core +1 more source
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
openaire +4 more sources
Plane-based Coarse Registration of 3D Point Clouds with 4D Models [PDF]
, 2011 The accurate registration of 3D point clouds with project 3D/4D models is becoming more and more important with the development of BIM and 3D laser scanning, for which the registration in a common coordinate system is critical to project control.
Bosché, Frédéric, Frederic Bosche
core +1 more source
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
doaj +1 more source
Plane-based registration of construction laser scans with 3D/4D building models [PDF]
, 2012 With the development of building information modelling (BIM) and terrestrial laser scanning (TLS) in the architecture, engineering, construction and facility management (AEC/FM) industry, the registration of site laser scans and project 3D (BIM) models ...
Bosché, Frédéric, Frédéric Bosché
core +1 more source
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
doaj +1 more source
Enriched Semantic 3D Point Clouds: An Alternative to 3D City Models for Digital Twin for Cities?
, 2023 Digital Twins (DTs) for cities represent a new trend for city planning and management, enhancing three-dimensional modeling and simulation of cities. While progress has been made in this research field, the current scientific literature mainly focuses on
Jeddoub, Imane +3 more
core +1 more source
Tracking MEP installation works [PDF]
, 2013 Recent research efforts to improve construction progress tracking has focused on employing emerging technologies such as three dimensional (3D) imaging, including digital photogrammetry and 3D Terrestrial Laser Scanning (TLS). Previous research has shown
Chiamone, Tiziana +22 more
core +1 more source