Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dmitrii Zhernov"'
Autor:
Sergei Voronin, Alexander Vasilyev, Vitaly Kober, Artyom Makovetskii, Aleksei Voronin, Dmitrii Zhernov
Publikováno v:
Applications of Digital Image Processing XLV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ee5c599082f480d6cf671695a35dd46
https://doi.org/10.1117/12.2633565
https://doi.org/10.1117/12.2633565
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5dd3597344ebfdc10b6d6b4f4f4d803
https://doi.org/10.1109/itnt55410.2022.9848687
https://doi.org/10.1109/itnt55410.2022.9848687
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6609787d1d707d7a46d2140e07c2ee30
https://doi.org/10.1109/itnt52450.2021.9649027
https://doi.org/10.1109/itnt52450.2021.9649027
Publikováno v:
Applications of Digital Image Processing XLIV.
Geometric registration is a key task in many computational fields, including medical imaging, robotics, autonomous driving. The registration involves the prediction of a rigid motion to align one point cloud to another, potentially distorted by noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20562f4590d1f9318dda189272e10590
https://doi.org/10.1117/12.2594573
https://doi.org/10.1117/12.2594573
Publikováno v:
Applications of Digital Image Processing XLIII.
Human facial expressions describe a set of signals, which can be associated with mental states such as emotions depending on physiological conditions. There are many potential applications of expression recognition systems. They take into account abo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ae75b15ae142c0198ad1fd496ab19a
https://doi.org/10.1117/12.2568961
https://doi.org/10.1117/12.2568961
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
One of the most efficient tool for human face recognition is neural networks. However, the result of recognition can be spoiled by facial expressions and other deviation from the canonical face representation. In this paper, we propose a resampling m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f175d1b7d371d6571e58c2d35a7684
https://doi.org/10.1109/itnt49337.2020.9253224
https://doi.org/10.1109/itnt49337.2020.9253224