Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Nazil Perveen"'
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030948924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b29e448b6ddd94768bf6dfd660e613c8
https://doi.org/10.1007/978-3-030-94893-1_17
https://doi.org/10.1007/978-3-030-94893-1_17
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35d9bfd27a2257a46ab1032edb56e7d6
https://doi.org/10.5220/0010828700003124
https://doi.org/10.5220/0010828700003124
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Recognition of facial expressions across various actors, contexts, and recording conditions in real-world videos involves identifying local facial movements. Hence, it is important to discover the formation of expressions from local representations c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf56a30530b2e2850b73879a191d684
https://pubmed.ncbi.nlm.nih.gov/32746249
https://pubmed.ncbi.nlm.nih.gov/32746249
Publikováno v:
Pattern Recognition. 122:108282
Fine-grained action recognition involves comparison of similar actions of variable-length size consisting of subtle interactions between human and specific objects. Hence, we propose a dynamic kernel-based approach to handle the variable-length patte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a04d96e2fede2d30ab5745fb14ee02ef
https://doi.org/10.1016/j.patcog.2021.108282
https://doi.org/10.1016/j.patcog.2021.108282
Publikováno v:
IEEE Transactions on Image Processing. 27:5575-5584
Spontaneous expression recognition refers to recognizing non-posed human expressions. In literature, most of the existing approaches for expression recognition mainly rely on manual annotations by experts, which is both time-consuming and difficult t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22f476d7c1d2a5e526b0df590f6f377f
https://doi.org/10.1109/tip.2018.2856373
https://doi.org/10.1109/tip.2018.2856373
Autor:
Nazil Perveen, Chalavadi Krishna Mohan
Publikováno v:
VISIGRAPP (4: VISAPP)
In this paper, we propose an approach for spontaneous expression recognition in the wild using configural representation of facial action units. Since all configural features do not contribute to the formation of facial expressions, we consider confi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb273314cebbf5d03cd688992ce59de
https://doi.org/10.5220/0009099700930102
https://doi.org/10.5220/0009099700930102
Publikováno v:
VISIGRAPP (5: VISAPP)
In this paper, the quantitative assessment for facial paralysis is proposed to detect and measure the different degrees of facial paralysis. Generally, difficulty in facial muscle movements determines the degree with which patients are affected by fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab27a700771124bac61291611a6ee548
https://doi.org/10.5220/0009104801730184
https://doi.org/10.5220/0009104801730184
Publikováno v:
International Journal of Computer and Communication Technology. :109-113
Facial expression is one of the most powerful, natural, and abrupt means for human beings which have the knack to communicate emotion and regulate inter-personal behaviour. In this paper we present a novel approach for facial expression detection usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8da10a43b1c3766e1bc625a0591cada
https://doi.org/10.47893/ijcct.2014.1229
https://doi.org/10.47893/ijcct.2014.1229
Publikováno v:
International Journal of Computer Applications. 64:15-21
Expression reflects the emotional stage of the person. Sensing and responding appropriately to the user's emotional state is one of the most powerful, natural and abrupt means, which have the capability to enrich man-machine interaction and to regula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47462f98c7186854f58338ce970a503a
https://doi.org/10.5120/10733-5573
https://doi.org/10.5120/10733-5573
Publikováno v:
ICMLA
A part-based approach for spontaneous expression recognition using audio-visual feature and deep convolution neural network (DCNN) is proposed. The ability of convolution neural network to handle variations in translation and scale is exploited for e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4548eeb9ea5c2dcb750593b7afac8f06
https://doi.org/10.1109/icmla.2016.0147
https://doi.org/10.1109/icmla.2016.0147