Results 41 to 50 of about 309,652 (283)
Geological surface reconstruction from 3D point clouds
MethodsX, 2021 The numerical simulation of phenomena such as subsurface fluid flow or rock deformations are based on geological models, where volumes are typically defined through stratigraphic surfaces and faults, which constitute the geometric constraints, and then discretized into blocks to which relevant petrophysical or stress-strain properties are assigned ...
Serazio, Cristina +3 more
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3D face recognition using multiview keypoint matching [PDF]
, 2009 A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate each 3D point cloud representing an individual’s face around the x, y or z ...
Mayo, Michael, Zhang, Edmond Yiwen
core +2 more sources
Mobile LiDAR-based Real-time Identification of Transmission Lines [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis paper proposes a method for identifying 3D point cloud of transmission line acquired by light detection and ranging (LiDAR) real-time mobile scanning.
M. Li +5 more
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Dense Point Cloud Reconstruction by Shape and Pose Features Learning [PDF]
Jisuanji kexue yu tansuo, 2022 As one of the methods of high-resolution 3D reconstruction, generating dense 3D point clouds from a single image has always been of high interest in the field of computer vision.
YANG Yongzhao, ZHANG Yujin, ZHANG Lijun
doaj +1 more source
Adversarial Shape Perturbations on 3D Point Clouds [PDF]
, 2020 18 pages, accepted to the 2020 ECCV workshop on Adversarial Robustness in the Real World, source code available at this https url: https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D ...
Liu, Daniel, Yu, Ronald, Su, Hao
openaire +2 more sources
Remote Sensing, 2020 To provide a realistic environment for remote sensing applications, point clouds are used to realize a three-dimensional (3D) digital world for the user.
Jeonghoon Kwak, Yunsick Sung
doaj +1 more source
CloudUP—Upsampling Vibrant Color Point Clouds Using Multi-Scale Spatial Attention
IEEE Access, 2023 In recent years, there has been a noticeable increase in the inclination towards digitizing our surroundings, encompassing various domains such as virtual reality, cultural heritage conservation, and architectural representation.
Yongju Cho +7 more
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Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning [PDF]
, 2019 We show that denoising of 3D point clouds can be learned unsupervised, directly from noisy 3D point cloud data only. This is achieved by extending recent ideas from learning of unsupervised image denoisers to unstructured 3D point clouds.
Hermosilla, Pedro +2 more
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Remote SensingIn recent years, due to the significant advancements in hardware sensors and software technologies, 3D environmental point cloud modeling has gradually been applied in the automation industry, autonomous vehicles, and construction engineering.
Tzu-Jung Wu, Rong He, Chao-Chung Peng
doaj +1 more source
Deep Projective 3D Semantic Segmentation
, 2017 Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far.
AE Johnson +6 more
core +1 more source