Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Zhaoguo Jiang"'
Publikováno v:
IEEE Access, Vol 8, Pp 42097-42110 (2020)
The Fourier-based gradient field integration method can efficiently reconstruct transparent surfaces from the measured gradient data in the Shape-from-polarization method. However, for the differentiation operator having large truncation errors and l
Externí odkaz:
https://doaj.org/article/0974c8f0c53b4237b609eaf1d19706c4
Publikováno v:
IEEE Access, Vol 7, Pp 152179-152186 (2019)
A distorted checkerboard image affects the precision of omnidirectional camera calibration because of the inaccurate localization of the feature points. To solve this problem, an iterative refinement method is presented. First, the initial parameters
Externí odkaz:
https://doaj.org/article/fef3ce5324944ea5acae78e4a8b1d6e1
Publikováno v:
IEEE Access, Vol 6, Pp 53489-53498 (2018)
This paper presents a new method for registration of digital micro-mirror device (DMD) cameras through image reconstruction. The method called dual-channel super-resolution reconstruction (DCSR) uses a dual-channel input convolutional neural network
Externí odkaz:
https://doaj.org/article/f0e3ad277e774f4f9982eecffd3c21ea
Publikováno v:
Applied Sciences, Vol 9, Iss 13, p 2625 (2019)
Dielectric electro-active polymer (DEAP) materials, also called artificial muscle, are a kind of EAP smart materials with extraordinary strains up to 30% at a high driving voltage. However, the asymmetric rate-dependent hysteresis is a barrier for tr
Externí odkaz:
https://doaj.org/article/e1e183bdd7fc4da4bff0f71f2b933e9e
Publikováno v:
IEEE Sensors Journal. 22:1948-1955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a55f47e77f168aa1ba74ed1e7e4911a
https://doi.org/10.1109/jsen.2021.3135551
https://doi.org/10.1109/jsen.2021.3135551
Publikováno v:
Journal of Intelligent Material Systems and Structures. 32:2108-2123
As a smart material-based actuator, the dielectric electro-active polymer (DEAP) actuator is widely considered to be a potential driving mechanism for many applications, especially in intelligent bio-inspired robotics. However, the DEAP actuator demo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cab2267a64914b4d46c5e250b546ddb6
https://doi.org/10.1177/1045389x20986997
https://doi.org/10.1177/1045389x20986997
Publikováno v:
IEEE Access, Vol 8, Pp 42097-42110 (2020)
The Fourier-based gradient field integration method can efficiently reconstruct transparent surfaces from the measured gradient data in the Shape-from-polarization method. However, for the differentiation operator having large truncation errors and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a57dbb001011f11bf6a4777033026988
https://doi.org/10.1109/access.2020.2977097
https://doi.org/10.1109/access.2020.2977097
Publikováno v:
IEEE Access, Vol 7, Pp 152179-152186 (2019)
A distorted checkerboard image affects the precision of omnidirectional camera calibration because of the inaccurate localization of the feature points. To solve this problem, an iterative refinement method is presented. First, the initial parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5e0f42cc621b3d9ff91b78d7c88d730
https://doi.org/10.1109/access.2019.2945635
https://doi.org/10.1109/access.2019.2945635
Publikováno v:
Sensors and Actuators A: Physical. 341:113581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7edf9e2b2582bb4a554bfce0396269c
https://doi.org/10.1016/j.sna.2022.113581
https://doi.org/10.1016/j.sna.2022.113581
Publikováno v:
Applied optics. 59(22)
The two-dimensional Fourier-transform-based integration algorithm is widely used in shape or wavefront reconstruction from gradients. However, its reconstruction accuracy is limited by the truncation error of the difference model. The truncation erro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::198ea97c355fe3c016000f4b40b61102
https://pubmed.ncbi.nlm.nih.gov/32749345
https://pubmed.ncbi.nlm.nih.gov/32749345