Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yayu Zhai"'
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Phase recovery from a stack of through-focus intensity images is an effective non-interference quantitative phase imaging strategy. Nevertheless, the implementations of these methods are expensive and time-consuming because the distance between each
Externí odkaz:
https://doaj.org/article/674604ad06cc4529a6726dba44a46795
Publikováno v:
IEEE Access, Vol 6, Pp 50752-50764 (2018)
In recent decades, there have been considerable improvements in target-tracking algorithms. However, aspects such as target occlusion, scale variation, and illumination changes still present significant challenges to existing algorithms. In this pape
Externí odkaz:
https://doaj.org/article/8b0f2642b92b49e98ad19f25c857c785
Publikováno v:
Sensors, Vol 19, Iss 4, p 822 (2019)
The photonic mixer device (PMD) solid-state array lidar, as a three-dimensional imaging technology, has attracted research attention in recent years because of its low cost, high frame rate, and high reliability. To address the disadvantages of tradi
Externí odkaz:
https://doaj.org/article/c4825a3b161b404dbe2277a8c7c334e0
Publikováno v:
Optics express. 29(23)
The quality of depth maps acquired by a time-of-flight three-dimensional ghost imaging (3DGI) system is limited by dynamic ambient light and electrical noise. We developed a novel method that integrates the differential-correlation-sampling (DCS) met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70cdd40bd2f5a4685cb96c0b3a86ee3b
https://pubmed.ncbi.nlm.nih.gov/34808931
https://pubmed.ncbi.nlm.nih.gov/34808931
Publikováno v:
Optics and Lasers in Engineering. 156:107089
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de45f75c8d447d6e60c51dac08b400d6
https://doi.org/10.1016/j.optlaseng.2022.107089
https://doi.org/10.1016/j.optlaseng.2022.107089
Publikováno v:
Journal of Nanoelectronics and Optoelectronics. 13:1063-1075
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8185dd0ef509289297dfb5bec58cf177
https://doi.org/10.1166/jno.2018.2372
https://doi.org/10.1166/jno.2018.2372
Publikováno v:
IEEE Access, Vol 6, Pp 50752-50764 (2018)
In recent decades, there have been considerable improvements in target-tracking algorithms. However, aspects such as target occlusion, scale variation, and illumination changes still present significant challenges to existing algorithms. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::616c40bede358f9880144b9d7ca74e52
https://ieeexplore.ieee.org/document/8463446/
https://ieeexplore.ieee.org/document/8463446/
Publikováno v:
Sensors
Volume 19
Issue 4
Sensors, Vol 19, Iss 4, p 822 (2019)
Sensors (Basel, Switzerland)
Volume 19
Issue 4
Sensors, Vol 19, Iss 4, p 822 (2019)
Sensors (Basel, Switzerland)
The photonic mixer device (PMD) solid-state array lidar, as a three-dimensional imaging technology, has attracted research attention in recent years because of its low cost, high frame rate, and high reliability. To address the disadvantages of tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e1362d1798e4f64bfa4dc4d190448f9
Publikováno v:
2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS).
Polyvinylidene fluoride (PVDF) has widely used in detecting the interplanetary dust. In the case of penetration and non-penetration, the output signals of the PVDF are quite different. Detecting whether particles penetrate PVDF is a crucial issue. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5959a77816fcc22fc1c35519862bcf84
https://doi.org/10.1109/icsess.2018.8663727
https://doi.org/10.1109/icsess.2018.8663727
Publikováno v:
2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS).
In this paper, a unique method for detecting and distinguishing the grounds, walls, and ceilings in the indoor environment using single depth image is presented. Our method combines clustering and recognition to estimate the planes show in the depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23c9ac616b708a7aabd1459c093717d0
https://doi.org/10.1109/icsess.2018.8663712
https://doi.org/10.1109/icsess.2018.8663712