Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Imen Hamrouni Trimech"'
Publikováno v:
Traitement du Signal. 38:321-330
Point cloud-based Deep Neural Networks (DNNs) have gained increasing attention as an insightful solution in the study field of geometric deep learning. Point set aware DNNs have proven capable of dealing with the unstructured data type and successful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6930770135ff864203b2e814e9f811dc
https://doi.org/10.18280/ts.380209
https://doi.org/10.18280/ts.380209
Publikováno v:
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0712bc3d51aff237710cf211fd2e974
https://doi.org/10.1109/ssd54932.2022.9955654
https://doi.org/10.1109/ssd54932.2022.9955654
Publikováno v:
CW
3D data are an important resource for many computer-based applications, as they provide valuable depth cues about the full geometry of 3D associated objects. They become even more valuable as regards 3D face/ facial expression recognition using deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f424ecceacd27119a60e987185dffbf7
https://doi.org/10.1109/cw49994.2020.00035
https://doi.org/10.1109/cw49994.2020.00035
Publikováno v:
SSD
3D Facial Expression Recognition (FER) is an active research topic due to its multi-fields human machine applications. We expose in this paper a new approach for Data Augmentation (DA) in order to improve 3D FER using Deep Neural Networks (DNN). Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410b11dcfc11e9c24b83c847a7ce4bfc
https://doi.org/10.1109/ssd.2019.8893278
https://doi.org/10.1109/ssd.2019.8893278
Publikováno v:
2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).
In this paper we present a novel approach for 3D facial expression recognition based on a registration method. The used registration method, called the Coherent Point Drift (CPD), is applied to estimate complex non-linear and nonrigid transformation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe2e7d7c356904aa3a7bfbbe3c560772
https://doi.org/10.1109/setit.2016.7939917
https://doi.org/10.1109/setit.2016.7939917
Publikováno v:
IPAS
In this paper we propose a new approach for watermarking biometric fingerprint images using Gabor direct linear discriminant analysis face features. Our goal is to incorporate a watermark in the best embedding domain that preserves minutiae, which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e359da8e043fc8052aaa2bc65cbfd3d9
https://doi.org/10.1109/ipas.2016.7880135
https://doi.org/10.1109/ipas.2016.7880135