Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Andrea Lagorio"'
Autor:
Pietro Ruiu, Mauro Fadda, Andrea Lagorio, Seth Nixon, Matteo Anedda, Enrico Grosso, Marinella Iole Cadoni
Publikováno v:
IEEE Access, Vol 12, Pp 75951-75964 (2024)
Face detection and recognition play pivotal roles across various domains, spanning from personal authentication to forensic investigations, surveillance, entertainment, and social media. In our interconnected world, pinpointing an individual’s iden
Externí odkaz:
https://doaj.org/article/e515cbcdd2d44b9db961d98652b9def9
Publikováno v:
2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Publikováno v:
Neural Computing and Applications. 33:11905-11922
Traditional local image descriptors such as SIFT and SURF are based on processings similar to those that take place in the early visual cortex. Nowadays, convolutional neural networks still draw inspiration from the human vision system, integrating c
Publikováno v:
Pattern Recognition Letters. 122:38-44
Object recognition has regained a high level of attention in recent years, with the application of deep convolutional neural networks to classification tasks. However, the problem of recognising objects for which a limited number of images is availab
Publikováno v:
ICPR
Early hierarchical computational visual models as well as recent deep neural networks have been inspired by the functioning of the primate visual cortex system. Although much effort has been made to dissect neural networks to visualize the features t
Publikováno v:
APPIS
In recent years, CNNs are capturing the attention of a large community of researchers, attracted by the high performance of this approach and by the surprising results obtained in many recognition/classification activities. Unfortunately, the excelle
Publikováno v:
Selfie Biometrics ISBN: 9783030269715
Selfie Biometrics
Selfie Biometrics
In everyday life whenever people observe, interact or speak to each other, visual attention is mostly directed toward the other person’s face, particularly to the eyes and the nearby periocular regions. This is naturally reflected when the user int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96a1ea8aaeaba230c1dfb0954cf34c9c
https://doi.org/10.1007/978-3-030-26972-2_6
https://doi.org/10.1007/978-3-030-26972-2_6
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
In the last decade deep learning techniques have strongly influenced many aspects of computational vision. Many difficult vision tasks can now be performed by deploying a properly tailored and trained deep network. The enthusiasm for deep learning is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3064b5075f79379c04a3c9a8a89222f9
https://doi.org/10.1007/978-3-030-33904-3_3
https://doi.org/10.1007/978-3-030-33904-3_3
Publikováno v:
Image and Vision Computing. 52:42-55
In this paper, we present a 2D/3D multimodal face identification system. A set of iconic fiducial points and descriptors is first extracted from the images of the faces and a preliminary correspondence between the points is established on the basis o
Publikováno v:
IWBF
Face recognition has a strong potential for identity verification on mobile devices, now embedding high resolution cameras and high-end computing hardware. Personal computing devices often also embed automatic face detection, thus facilitating the ex