Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wiktor Krajnik"'
Publikováno v:
Sensors, Vol 22, Iss 3, p 925 (2022)
Three-dimensional (3D) shape estimation of the human body has a growing number of applications in medicine, anthropometry, special effects, and many other fields. Therefore, the demand for the high-quality acquisition of a complete and accurate body
Externí odkaz:
https://doaj.org/article/cf82b1330b6448cca0002e94eede36de
Publikováno v:
Sensors, Vol 22, Iss 925, p 925 (2022)
Sensors; Volume 22; Issue 3; Pages: 925
Sensors; Volume 22; Issue 3; Pages: 925
Three-dimensional (3D) shape estimation of the human body has a growing number of applications in medicine, anthropometry, special effects, and many other fields. Therefore, the demand for the high-quality acquisition of a complete and accurate body
Publikováno v:
Holography: Advances and Modern Trends VII.
Proposed convolutional neural network based, fast and accurate local fringe density map estimation by DeepDensity was developed to significantly enhance full-field optical measurement techniques, e.g., interferometry, holographic microscopy, fringe p
Noise influence on DeepDensity: convolutional neural network for local fringe density map estimation
Publikováno v:
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
Convolutional neural network based, fast and accurate local fringe density map estimation by DeepDensity significantly enhances full-field optical measurement techniques, e.g., holographic microscopy. The numerical capabilities of the proposed algori
Publikováno v:
Optics and Lasers in Engineering. 145:106675
Fringe pattern based measurement techniques are crucial both in macroscale, e.g., fringe projection profilometry, and microscale, e.g., label-free quantitative phase microscopy. Accurate estimation of the local fringe density map can significantly fa