Results 71 to 80 of about 1,041,889 (332)
Nonparametric point cloud filter
IET Image ProcessingThis paper proposes a nonparametric point cloud filter to address the issue that existing point cloud filtering methods cannot retain important point cloud features after filtering and often require complex parameter adjustments. Firstly, a nonparametric
Yefa Sun, Jinli Wang
doaj +1 more source
3D Camouflaging Object using RGB-D Sensors
, 2017 This paper proposes a new optical camouflage system that uses RGB-D cameras, for acquiring point cloud of background scene, and tracking observers eyes.
Eshrah, Islam A. +2 more
core +1 more source
, 2018 Generative Adversarial Networks (GAN) can achieve promising performance on learning complex data distributions on different types of data. In this paper, we first show a straightforward extension of existing GAN algorithm is not applicable to point clouds, because the constraint required for discriminators is undefined for set data.
Li, Chun-Liang +4 more
openaire +2 more sources
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Data-Driven Point Cloud Objects Completion
Sensors, 2019 With the development of the laser scanning technique, it is easier to obtain 3D large-scale scene rapidly. However, many scanned objects may suffer serious incompletion caused by the scanning angles or occlusion, which has severely impacted their future ...
Yang Zhang, Zhen Liu, Xiang Li, Yu Zang
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Point cloud segmentation using hierarchical tree for architectural models
, 2018 Recent developments in the 3D scanning technologies have made the generation of highly accurate 3D point clouds relatively easy but the segmentation of these point clouds remains a challenging area.
Butt, Zain +3 more
core +1 more source
Virtualized Point Cloud Rendering
IEEE Transactions on Visualization and Computer GraphicsRemote sensing technologies, such as LiDAR, produce billions of points that commonly exceed the storage capacity of the GPU, restricting their processing and rendering. Level of detail (LoD) techniques have been widely investigated, but building the LoD structures is also time-consuming.
José Antonio Collado Araque +3 more
openaire +3 more sources
The Bilateral Filter for Point Clouds [PDF]
Image Processing On Line, 2017 Point sets obtained by 3D scanners are often corrupted with noise, that can have several causes, such as a tangential acquisition direction, changing environmental lights or a reflective object material. It is thus crucial to design efficient tools to remove noise from the acquired data without removing important information such as sharp edges or ...
Digne, Julie, de Franchis, Carlo
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder +6 more
wiley +1 more source
A review of rigid point cloud registration based on deep learning
Frontiers in NeuroroboticsWith the development of 3D scanning devices, point cloud registration is gradually being applied in various fields. Traditional point cloud registration methods face challenges in noise, low overlap, uneven density, and large data scale, which limits the
Lei Chen +4 more
doaj +1 more source