Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Chengkai Wan"'
Publikováno v:
CISP-BMEI
The holes in depth images, which are one of the main factors affecting image quality and applications. In order to fill holes effectively for the depth images, this paper proposes a single depth image inpainting method based on deep learning. First,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c983e72bdfb08f9a39089a342a4267c1
https://doi.org/10.1109/cisp-bmei51763.2020.9263677
https://doi.org/10.1109/cisp-bmei51763.2020.9263677
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Large Scale Natural Draft Cooling Tower has become a hot topic in China because it is an important part of the nuclear power plant, and its environmental impacts include shading, solar energy loss, water deposition and salt deposition. In Ch
Externí odkaz:
https://doaj.org/article/30b2c25539b04aa9900a9fa2e033dee1
Markerless human motion capture by Markov random field and dynamic graph cuts with color constraints
Publikováno v:
Science in China Series F: Information Sciences. 52:252-259
Currently, many vision-based motion capture systems require passive markers attached to key locations on the human body. However, such systems are intrusive with limited application. The algorithm that we use for human motion capture in this paper is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ca926e9cce953f6bc23dce65a71d651
https://doi.org/10.1007/s11432-009-0040-x
https://doi.org/10.1007/s11432-009-0040-x
Publikováno v:
Science in China Series F: Information Sciences. 52:322-328
Moving object segmentation is one of the most challenging issues in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combines Gaussian mixture model (GMM) and active contours method, and produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e164c196916978da366198a48221bc9
https://doi.org/10.1007/s11432-009-0052-6
https://doi.org/10.1007/s11432-009-0052-6
Publikováno v:
The Visual Computer. 24:373-380
Current vision-based human body motion capture methods always use passive markers that are attached to key locations on the human body. However, such systems may confront subjects with cumbersome markers, making it difficult to convert the marker dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18dfb3228657312746585ba81d3bf595
https://doi.org/10.1007/s00371-007-0195-7
https://doi.org/10.1007/s00371-007-0195-7
Autor:
Jingjing Zhao, Fang Yuan, Feng Fu, Yi Liu, Changhu Xue, Kangjun Wang, Xiangjun Yuan, Dingan Li, Qiuwu Liu, Wei Zhang, Yi Jia, Jianbo He, Jun Zhou, Xiaocheng Wang, Hua Lv, Kang Huo, Zhuanhui Li, Bei Zhang, Chengkai Wang, Xiaomu Wang, Hongzeng Li, Fang Yang, Wen Jiang, the CHASE Study Group
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 8, Iss 10, Pp 2059-2069 (2021)
Abstract Objective To explore the effect of individualized blood pressure (BP)‐lowering treatment on the outcomes of elderly patients with severe intracerebral hemorrhage (ICH). Methods We performed an exploratory analysis of Controlling Hypertensi
Externí odkaz:
https://doaj.org/article/012d2ec1ae0c475a873237b75ddfa85b
Publikováno v:
ICDIP
Motion capture is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for markerless human body motion capture. We compute volume data (voxels) representation from the images using the method of SFS (sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbb018fb6334957578d2f7f1adffaa11
https://doi.org/10.1109/icdip.2009.26
https://doi.org/10.1109/icdip.2009.26
Publikováno v:
2008 9th International Conference on Signal Processing.
In this paper, we propose a new markerless model-based human body motion capture algorithm. It no longer requires the foreground segmentation as an essential introductory step. The algorithm combines the human body model with pose parameters and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d1a6247e744a16f684bed25afb3722
https://doi.org/10.1109/icosp.2008.4697380
https://doi.org/10.1109/icosp.2008.4697380
Publikováno v:
IET 2nd International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN 2008).
Much of the research on markerless model-based human body motion capture always tries hard to construct accurate human body model and precise surface contour (e.g. using super-quadrics or ellipsoids to represent model limbs). Unfortunately, because o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07b5f050999661c9a603230e18c32311
https://doi.org/10.1049/cp:20081045
https://doi.org/10.1049/cp:20081045
Publikováno v:
Nanomaterials, Vol 13, Iss 13, p 1925 (2023)
In recent years, LC resonant sensors have gained widespread attention for their extensive applications in industries such as pharmaceutical storage and food transportation. A wireless passive sensor with a good sensing performance is proposed based o
Externí odkaz:
https://doaj.org/article/8551289a21a640a1b84fb430db7efcf3