Zobrazeno 1 - 10
of 3 230
pro vyhledávání: '"3D Point Cloud"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 3006-3014 (2024)
During the 3D point cloud object tracking, some issues such as occlusion, sparsity, and random noise often arise. To address these challenges, this paper proposes a novel approach to 3D point cloud object tracking based on multi-level fusion of Trans
Externí odkaz:
https://doaj.org/article/a3cb8f7adf13496fb92a801b66b361d8
Autor:
Yu Ren, Hongcan Guan, Haitao Yang, Yanjun Su, Shengli Tao, Kai Cheng, Wenkai Li, Zekun Yang, Guoran Huang, Cheng Li, Guangcai Xu, Zhi Lu, Qinghua Guo
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1889-1905 (2024)
Abstract Giant trees are pivotal in forest ecosystems, yet our current understanding of their significance is constrained primarily by the limited knowledge of their precise locations and structural characteristics. Amidst escalating human‐induced
Externí odkaz:
https://doaj.org/article/ab24abfbdfea4287a896e221381be565
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-24 (2024)
Abstract Aiming at the problems of low efficiency and high cost in determining the phenotypic parameters of Cymbidium seedlings by artificial approaches, this study proposed a fully automated measurement scheme for some phenotypic parameters based on
Externí odkaz:
https://doaj.org/article/dd9918a4a8fc4df992f1a599f5337ea6
Publikováno v:
ARPHA Proceedings, Vol 6, Iss , Pp 49-53 (2024)
Trees provide essential ecosystemic services (e.g. stocking carbon or locally regulating temperatures) and play an important role in the resilience to climate change, especially in urban areas. Quantifying these services in cities is difficult becaus
Externí odkaz:
https://doaj.org/article/3c9e6b210afc49de817baa52511dca3d
Publikováno v:
Underground Space, Vol 17, Iss , Pp 300-319 (2024)
Discontinuity is critical for strength, deformability, and permeability of rock mass. Set information is one of the essential discontinuity characteristics and is usually accessed by orientation grouping. Traditional methods of identifying optimal di
Externí odkaz:
https://doaj.org/article/6bb0e1b0e9554e77b07c7382acf96582
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 76-90 (2024)
ObjectiveNowadays most no contact body size measurement studies are based on point cloud segmentation method, they use a trained point cloud segmentation neural network to segment point cloud of pigs, then locate measurement points based on them. But
Externí odkaz:
https://doaj.org/article/25924140a4c44731a8e8c3a8b41647ff
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 91-102 (2024)
ObjectiveThere exist a high genetic correlation among various morphological characteristics of Mongolian horses. Utilizing advanced technology to obtain body structure parameters related to athletic performance could provide data support for breeding
Externí odkaz:
https://doaj.org/article/a95c87c6ae7d474fb7c56897374cb37f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract High-precision 3D point cloud data have various analyses and application use cases. This study aimed to achieve a more precise noise reduction of the raw 3D point cloud data of asphalt pavements obtained using 3D laser scanning. Hence, a noi
Externí odkaz:
https://doaj.org/article/50fc5133bf004cfbb86fd871df3ebbc4
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract Semantic segmentation of point clouds of ancient buildings plays an important role in Historical Building Information Modelling (HBIM). As the annotation task of point cloud of ancient architecture is characterised by strong professionalism
Externí odkaz:
https://doaj.org/article/3d11a089202546bb9237d2df09fb0296
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/924595bb2b7c468981d760f38f9e9cb9