Zobrazeno 1 - 10
of 191
pro vyhledávání: '"point cloud reconstruction"'
Publikováno v:
Sensors, Vol 24, Iss 18, p 5929 (2024)
Feature points from moving objects can negatively impact the accuracy of Visual Simultaneous Localization and Mapping (VSLAM) algorithms, while detection or semantic segmentation-based VSLAM approaches often fail to accurately determine the true moti
Externí odkaz:
https://doaj.org/article/74b24877f0e84e7fb4e24053e367ed81
Publikováno v:
Alexandria Engineering Journal, Vol 78, Iss , Pp 120-130 (2023)
In underwater building-surface defect detection, high pressure, cold and other underwater factors will cause harm to frogmen, sonar and other detection techniques contain limited information and accuracy is difficult to meet the demand. In view of th
Externí odkaz:
https://doaj.org/article/89aa58f96787422b848b2cc2240afdda
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3045 (2024)
Self-supervised learning has made significant progress in point cloud processing. Currently, the primary tasks of self-supervised learning, which include point cloud reconstruction and representation learning, are trained separately due to their stru
Externí odkaz:
https://doaj.org/article/63dbeb43724847d29cb0e8ff90fc7019
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 12, p 2142 (2024)
Crop phenotyping data collection is the basis for precision agriculture and smart decision-making applications. Accurately obtaining the canopy volume of citrus trees is crucial for yield prediction, precise fertilization and cultivation management.
Externí odkaz:
https://doaj.org/article/d34b502372944ee48076e69c71b78b50
Autor:
Junyong Lin, Hongyu Chen, Runkang Wu, Xueyin Wang, Xinchang Liu, He Wang, Zhenfang Wu, Gengyuan Cai, Ling Yin, Runheng Lin, Huan Zhang, Sumin Zhang
Publikováno v:
Animals, Vol 14, Iss 8, p 1210 (2024)
Pig point cloud data can be used to digitally reconstruct surface features, calculate pig body volume and estimate pig body weight. Volume, as a pig novel phenotype feature, has the following functions: (a) It can be used to estimate livestock weight
Externí odkaz:
https://doaj.org/article/da7906706ff24273bb9f2518096f5cb8
Autor:
Xiaobo Lin, Shibiao Xu
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2425 (2024)
In unmanned aerial vehicle (UAV) large-scale scene modeling, challenges such as missed shots, low overlap, and data gaps due to flight paths and environmental factors, such as variations in lighting, occlusion, and weak textures, often lead to incomp
Externí odkaz:
https://doaj.org/article/c53f2a95cae54c9e9c1bc680e3311f83
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 901 (2024)
Reconstructing 3D structures from non-overlapping multi-view images is a crucial task in the field of 3D computer vision, since it is difficult to establish feature correspondences and infer depth from overlapping parts of views. Previous methods, wh
Externí odkaz:
https://doaj.org/article/df1987c007354f88b1fe2487467b0be0
Akademický článek
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Publikováno v:
Systems Science & Control Engineering, Vol 10, Iss 1, Pp 767-776 (2022)
Dynamic scene reconstruction in real environments is still an ongoing research challenge; moving objects affect the performance of static environment-based simultaneous localization and mapping and impede a correct scene reconstruction. This paper pr
Externí odkaz:
https://doaj.org/article/38325174f0274b649448cfd93fb6e497