Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Point cloud upsampling"'
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6814 (2024)
The point clouds obtained directly from three-dimensional scanning devices are often sparse and noisy. Therefore, point cloud upsampling plays an increasingly crucial role in fields such as point cloud reconstruction and rendering. However, point clo
Externí odkaz:
https://doaj.org/article/4fb1a5592e3f45719ea30af6f2c27e78
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2758 (2024)
The digital documentation and analysis of cultural heritage increasingly rely on high-precision three-dimensional point cloud data, which often suffers from missing regions due to limitations in acquisition conditions, hindering subsequent analyses a
Externí odkaz:
https://doaj.org/article/569684b982b94bcb91f89dbf909fe529
Publikováno v:
Graphical Models, Vol 130, Iss , Pp 101201- (2023)
Point cloud upsampling has been extensively studied, however, the existing approaches suffer from the losing of structural information due to neglect of spatial dependencies between points. In this work, we propose PU-GAT, a novel 3D point cloud upsa
Externí odkaz:
https://doaj.org/article/0ca589e95fd446c5a628a0e4d96843f8
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 5, Iss 1, Pp 81-91 (2023)
Due to the limitation of the working principle of 3D scanning equipment, the point cloud obtained by 3D scanning is usually sparse and unevenly distributed. In this paper, we propose a new Generative Adversarial Network(GAN) for point cloud upsamplin
Externí odkaz:
https://doaj.org/article/4a708ebb49e94116b56bc0ffef47e61c
Autor:
Yongju Cho, Rimsha Tariq, Usama Hassan, Javed Iqbal, Abdul Basit, Hyon-Gon Choo, Rehan Hafiz, Mohsen Ali
Publikováno v:
IEEE Access, Vol 11, Pp 128569-128579 (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. The computation of h
Externí odkaz:
https://doaj.org/article/95ca036bfa3446a0940bee778d35f863
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 450 (2024)
Point clouds are widely used in remote sensing applications, e.g., 3D object classification, semantic segmentation, and building reconstruction. Generating dense and uniformly distributed point clouds from low-density ones is beneficial to 3D point c
Externí odkaz:
https://doaj.org/article/b4ac5087a01449439241370590586b4c
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Publikováno v:
IEEE Access, Vol 10, Pp 67198-67209 (2022)
Point cloud data of cracks can be used for various purposes such as crack detection, depth calculation and crack segmentation. Upsampling low-density point clouds can help to improve the performance of those tasks. Building on existing methods that u
Externí odkaz:
https://doaj.org/article/d92540f3c64343fa8d54d5eda1448a4e