Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xingsheng Yuan"'
Publikováno v:
IET Image Processing, Vol 15, Iss 7, Pp 1499-1507 (2021)
Abstract Image alignment and colour consistency are two challenging tasks for image stitching. Traditional point correspondence methods are difficult to achieve good alignments due to their insufficiency and unreliability. The results are prone to er
Externí odkaz:
https://doaj.org/article/65b871f8cf0b43979b64ba6cc15e6cc3
Publikováno v:
IEEE Access, Vol 7, Pp 53296-53304 (2019)
Many deep learning architectures have been employed to model the semantic compositionality for text sequences, requiring a huge amount of supervised data for parameters training, making it unfeasible in situations where numerous annotated samples are
Externí odkaz:
https://doaj.org/article/e23c68875fee4b2cb3428bb771c9e9a8
Publikováno v:
The Journal of Engineering (2019)
Here we consider a corner target positioning problem under the condition of unknown walls' positions using time-division multiple-input-multiple-output (MIMO) radar. Firstly, we propose an estimation algorithm for the walls' positions using the Back-
Externí odkaz:
https://doaj.org/article/a4173bd1d71a4857b40a246b85cfaf83
Publikováno v:
IET Image Processing, Vol 15, Iss 7, Pp 1499-1507 (2021)
Image alignment and colour consistency are two challenging tasks for image stitching. Traditional point correspondence methods are difficult to achieve good alignments due to their insufficiency and unreliability. The results are prone to errors and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c02bbb2ff21114df0f787dc4efd732e
https://doaj.org/article/65b871f8cf0b43979b64ba6cc15e6cc3
https://doaj.org/article/65b871f8cf0b43979b64ba6cc15e6cc3
Publikováno v:
The Visual Computer. 36:1401-1410
We present a new approach for 3D human pose estimation from a single image. State-of-the-art methods for 3D pose estimation have focused on predicting a full-body pose of a single person and have not given enough attention to the challenges in applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63f43121cda9e0ea0dcd34f39899d743
https://doi.org/10.1007/s00371-019-01740-4
https://doi.org/10.1007/s00371-019-01740-4
Publikováno v:
The Journal of Engineering (2019)
Here we consider a corner target positioning problem under the condition of unknown walls' positions using time-division multiple-input-multiple-output (MIMO) radar. Firstly, we propose an estimation algorithm for the walls' positions using the Back-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee7869f808ab155d88f5b253ef4c9e4
https://doi.org/10.1049/joe.2019.0176
https://doi.org/10.1049/joe.2019.0176
Autor:
Penglu Yu, Xingsheng Yuan
Publikováno v:
2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI).
Visual perception and understanding in complex battlefield environments have few data samples, which cannot meet the need of deep network model training in variable and complex environments. In this paper, based on parallel vision theory, deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5529c3acc52959e8f5308eda4bb16c
https://doi.org/10.1109/dtpi52967.2021.9540087
https://doi.org/10.1109/dtpi52967.2021.9540087
Publikováno v:
IEEE Access, Vol 7, Pp 53296-53304 (2019)
Many deep learning architectures have been employed to model the semantic compositionality for text sequences, requiring a huge amount of supervised data for parameters training, making it unfeasible in situations where numerous annotated samples are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bac5588efacce74da82421b611f21a
https://doi.org/10.1109/access.2019.2911850
https://doi.org/10.1109/access.2019.2911850
Publikováno v:
IET Image Processing. 12:1560-1566
To solve problems that colour distortion and low resolution of infrared and visible colour fusion images, the authors propose a fusion method based on the double-opponency colour constancy mechanism of human vision. First, Waxman's fusion method whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b95551e0ee93c425c2a5d63c5eff0e5
https://doi.org/10.1049/iet-ipr.2017.0276
https://doi.org/10.1049/iet-ipr.2017.0276
Publikováno v:
2019 6th International Conference on Information Science and Control Engineering (ICISCE).
Interacting Multiple Model (IMM) filter is a popular method for estimating systems, whose model changes according to a finite-state, discrete-time Markov chain. In this paper, four improved IMM algorithms (IMM-EKF, IMM-CKF, IMM-UKF and IMM-CIF) are c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc6754c18832a11020fd91fb930b1376
https://doi.org/10.1109/icisce48695.2019.00013
https://doi.org/10.1109/icisce48695.2019.00013