Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Faysal Boughorbel"'
Autor:
Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, Tim Dahmen, Stefan Sandfeld
Publikováno v:
Crystals, Vol 11, Iss 3, p 258 (2021)
The analysis of microscopy images has always been an important yet time consuming process in materials science. Convolutional Neural Networks (CNNs) have been very successfully used for a number of tasks, such as image segmentation. However, training
Externí odkaz:
https://doaj.org/article/e0a1395a541749b0aec9c7207c76b4ed
Autor:
Alessia Aulitto, Ines Lopez Arteaga, Dragan Kostić, Faysal Boughorbel, Sergio De Rosa, Giuseppe Petrone
Nowadays monitoring health conditions of machines is necessary to reduce costs and repairing time and to secure the quality of the products. Therefore, the potential of acoustic measurements in combination with machine learning techniques for non-inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::259c96643b21d2b64b88507a363e4d9d
http://hdl.handle.net/11588/867057
http://hdl.handle.net/11588/867057
Publikováno v:
Nanoscale
Nanoscale, Royal Society of Chemistry, 2017, 9 (2), pp.684-689. ⟨10.1039/c6nr07991a⟩
Nanoscale, 9(2), 684-689. Royal Society of Chemistry
Nanoscale, 2017, 9 (2), pp.684-689. ⟨10.1039/c6nr07991a⟩
Nanoscale, Royal Society of Chemistry, 2017, 9 (2), pp.684-689. ⟨10.1039/c6nr07991a⟩
Nanoscale, 9(2), 684-689. Royal Society of Chemistry
Nanoscale, 2017, 9 (2), pp.684-689. ⟨10.1039/c6nr07991a⟩
Three-dimensional (3D) characterization of nanomaterials is traditionally performed by either cross-sectional milling with a focused ion beam (FIB), or transmission electron microscope tomography. While these techniques can produce high quality recon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85715e4198730359c2bf60fc88b29c90
https://doi.org/10.1039/c6nr07991a
https://doi.org/10.1039/c6nr07991a
Autor:
Patrick Trampert, Faysal Boughorbel, Christian Kübel, Tim Dahmen, Matthias Klusch, Philipp Slusallek, Janis Sprenger, Klaus Fischer
Publikováno v:
AI Perspectives. 1
Hierarchical neural networks with large numbers of layers are the state of the art for most computer vision problems including image classification, multi-object detection and semantic segmentation. While the computational demands of training such de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78c3dc548de544827a9dd784e6b105bd
https://doi.org/10.1186/s42467-019-0002-0
https://doi.org/10.1186/s42467-019-0002-0
Publikováno v:
Biological Field Emission Scanning Electron Microscopy ISBN: 9781118663233
Biological Field Emission Scanning Electron Microscopy
Biological Field Emission Scanning Electron Microscopy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c45310f934c96c9c1c8397959a45c551
https://doi.org/10.1002/9781118663233.ch6
https://doi.org/10.1002/9781118663233.ch6
Autor:
John Mitchels, Miloš Hovorka, Tomas Vystavel, Tim Dahmen, Faysal Boughorbel, B Lich, Patrick Trampert, Libor Strakos, Pavel Potocek
Publikováno v:
Microscopy and Microanalysis. 23:150-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a069fa888e7d8a82e2f8756b155e292
https://doi.org/10.1017/s143192761700143x
https://doi.org/10.1017/s143192761700143x
Publikováno v:
Image and Vision Computing. 28:124-137
In this paper, we present a 3D automatic registration method based on Gaussian Fields and energy minimization. A continuously differentiable energy function is defined, which is convex in a large neighborhood of the alignment parameters. We show that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4273f2d443ea5498ca8067fa5254002
https://doi.org/10.1016/j.imavis.2009.05.003
https://doi.org/10.1016/j.imavis.2009.05.003
Autor:
Faysal Boughorbel, Mongi A. Abidi, Mingzhong Yi, Jingu Heo, Besma Abidi, Yue Zheng, Andreas Koschan, Seong G. Kong
Publikováno v:
International Journal of Computer Vision. 71:215-233
This paper describes a new software-based registration and fusion of visible and thermal infrared (IR) image data for face recognition in challenging operating environments that involve illumination variations. The combined use of visible and thermal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fd78f4c337fb0c8ab2388b6949e57f
https://doi.org/10.1007/s11263-006-6655-0
https://doi.org/10.1007/s11263-006-6655-0
Publikováno v:
Pattern Recognition. 37:1567-1571
This paper introduces a new and simple criterion for rigid registration based on Gaussian fields. The criterion is always differentiable and convex in a large neighborhood of the alignment parameters; allowing for the use of well-proven optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b66cb4f5b8c9d9e84c599429a2363ed3
https://doi.org/10.1016/j.patcog.2004.02.005
https://doi.org/10.1016/j.patcog.2004.02.005
Autor:
Besma Abidi, Andreas Koschan, Faysal Boughorbel, Mongi A. Abidi, Sangkyu Kang, Yan Zhang, Umayal Chidambaram
Publikováno v:
Assembly Automation. 23:53-59
This paper describes an imaging system that was developed to aid industrial bin picking tasks. The purpose of this system was to provide accurate 3D models of parts and objects in the bin, so that precise grasping operations could be performed. The t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf44b5d7647d6891983ed07ff25b26a0
https://doi.org/10.1108/01445150310460097
https://doi.org/10.1108/01445150310460097