Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nesrine Grati"'
Publikováno v:
Chemistry Africa. 6:429-436
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be2cbd06c4b5c5a9ce136ea87e721bb
https://doi.org/10.1007/s42250-022-00519-w
https://doi.org/10.1007/s42250-022-00519-w
Publikováno v:
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
Scopus-Elsevier
This paper focuses on designing data-driven models to learn a discriminant representation space for face recognition using RGB-D data. Unlike hand-crafted representations, learned models can extract and organize the discriminant information from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4534490cd0e0fe84bc3f10f25e3489e
https://doi.org/10.5220/0007403305100516
https://doi.org/10.5220/0007403305100516
Publikováno v:
Expert Systems with Applications. 150:113319
In this article we present a novel RGB-D learned local representations for face recognition based on facial patch description and matching. The major contribution of the proposed approach is an efficient learning and combination of data-driven descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7f76a78059fa7eaed5f47c38a1ff81e
https://doi.org/10.1016/j.eswa.2020.113319
https://doi.org/10.1016/j.eswa.2020.113319
Publikováno v:
Neural Information Processing ISBN: 9783319466804
ICONIP (4)
ICONIP (4)
This paper presents a novel approach for face recognition using low cost RGB-D cameras under challenging conditions. In particular, the proposed approach is based on salient points to extract local patches independently to the face pose. The classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::349adab59978e5d1dfa32f51a1dff18f
https://doi.org/10.1007/978-3-319-46681-1_35
https://doi.org/10.1007/978-3-319-46681-1_35
