Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mengxiao Yin"'
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
Autor:
Jiayao Liang, Mengxiao Yin
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1646 (2024)
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to pr
Externí odkaz:
https://doaj.org/article/3d7d5a06b1e649a79ba0e12312eefd41
Publikováno v:
Journal of Computer-Aided Design & Computer Graphics. 34:1673-1683
Publikováno v:
Computer Animation and Virtual Worlds.
Autor:
Mengxiao Yin, Shangpeng Qin, Qiang Bian, Minwei Li, Junbo Yang, Yang Yu, Zhenrong Zhang, Fangyuan Zhang, Junyang Lu
Publikováno v:
Journal of Lightwave Technology. 40:323-333
In the field of physical oceanography, the temperature and pressure of seawater are important fundamental parameters. In order to realize the simultaneous measurement of the temperature and pressure in seawater, a reflective optical fiber sensor base
Publikováno v:
Journal of Computer-Aided Design & Computer Graphics. 33:1234-1245
Publikováno v:
The Visual Computer. 37:2195-2205
The multi-view of an object can be used for 3D reconstruction. The method proposed in this paper generates the left and the top view of a target car through deep learning. The input of the method is only a front view of a 3D car and it isn’t necess
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of information for increasing the clinical applicability of medical images. In this paper, we attempt t
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Biomedical Signal Processing and Control. 80:104294