Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Huamin Yang"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5475-5488 (2024)
Abstract Inferring the 3D surface shape of a known template from 2D images captured by a monocular camera is a challenging problem. Due to the severely underconstrained nature of the problem, inferring shape accurately becomes particularly challengin
Externí odkaz:
https://doaj.org/article/0a297db1a5074f55beab5aa0bdcff326
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Effectively monitoring pest-infested areas by computer vision is essential in precision agriculture in order to minimize yield losses and create early scientific preventative solutions. However, the scale variation, complex background, and dense dist
Externí odkaz:
https://doaj.org/article/d81c0deb97fb4039b78c6a1a321cbbcb
Publikováno v:
Shiyou shiyan dizhi, Vol 46, Iss 1, Pp 166-172 (2024)
The natural gas containing hydrogen sulfide in China has great exploration potential, and the origin, source and formation mechanism of hydrogen sulfide are of concern to petroleum workers. Hydrogen sulfide content and sulfur isotope analysis are two
Externí odkaz:
https://doaj.org/article/ce48a1f927054b88b6946dbd5198174b
Publikováno v:
Electronics Letters, Vol 60, Iss 6, Pp n/a-n/a (2024)
Abstract Effective compression of point clouds is essential for implementing virtual and mixed reality applications, which require encoding millions or even tens of millions of points. This paper offers a new geometric compression for point clouds ba
Externí odkaz:
https://doaj.org/article/51e1c4761d5741518bcac18ba1bf07ad
Publikováno v:
IET Computer Vision, Vol 17, Iss 2, Pp 156-169 (2023)
Abstract 360° depth estimation has been extensively studied because 360° images provide a full field of view of the surrounding environment as well as a detailed description of the entire scene. However, most well‐studied convolutional neural net
Externí odkaz:
https://doaj.org/article/31f178f83cf24abaa822cd5a943ae4b4
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 3 (2023)
In recent years, remote sensing analysis has gained significant attention in visual analysis applications, particularly in segmenting and recognizing remote sensing images. However, the existing research has predominantly focused on single-period RGB
Externí odkaz:
https://doaj.org/article/23c9185cfad0499b906190eacbf70e88
Publikováno v:
Sensors, Vol 23, Iss 21, p 8737 (2023)
For orbital angular momentum (OAM) recognition in atmosphere turbulence, how to design a self-adapted model is a challenging problem. To address this issue, an efficient deep learning framework that uses a derived extreme learning machine (ELM) has b
Externí odkaz:
https://doaj.org/article/7bb0b1599ac549979eac89a7ad32add7
Publikováno v:
Algorithms, Vol 16, Iss 10, p 484 (2023)
Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges. Recognizing the importance of captur
Externí odkaz:
https://doaj.org/article/f29805833a3545ce86ce07c64be7a55e
Publikováno v:
Sensors, Vol 23, Iss 16, p 7036 (2023)
The reliable circulation of automotive supply chain data is crucial for automotive manufacturers and related enterprises as it promotes efficient supply chain operations and enhances their competitiveness and sustainability. However, with the increas
Externí odkaz:
https://doaj.org/article/5a1ce4f6226a4b398cf1dd4aad27e403
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 3, Pp 2865-2874 (2021)
The real-time rendering of large-scale terrain scenes has been a challenge and is a popular research topic in the fields of 3D games and virtual reality. To fully utilize GPU features, this paper proposes a real-time rendering algorithm for large-sca
Externí odkaz:
https://doaj.org/article/1d9fdf80533242af913ceaeb3874652d