Zobrazeno 1 - 10
of 1 147
pro vyhledávání: '"Flynn, Patrick A."'
Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are currently
Externí odkaz:
http://arxiv.org/abs/2404.13449
Autor:
Vance, Nathan, Flynn, Patrick
Domain shift differences between training data for deep learning models and the deployment context can result in severe performance issues for models which fail to generalize. We study the domain shift problem under the context of remote photoplethys
Externí odkaz:
http://arxiv.org/abs/2404.08184
Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, which is the first dataset collected to support the study of simultaneous
Externí odkaz:
http://arxiv.org/abs/2402.02224
Autor:
Vance, Nathan, Flynn, Patrick
Model architecture refinement is a challenging task in deep learning research fields such as remote photoplethysmography (rPPG). One architectural consideration, the depth of the model, can have significant consequences on the resulting performance.
Externí odkaz:
http://arxiv.org/abs/2401.04801
Autor:
Khan, Siamul Karim, Tinsley, Patrick, Mitcheff, Mahsa, Flynn, Patrick, Bowyer, Kevin W., Czajka, Adam
Synthesis of same-identity biometric iris images, both for existing and non-existing identities while preserving the identity across a wide range of pupil sizes, is complex due to intricate iris muscle constriction mechanism, requiring a precise mode
Externí odkaz:
http://arxiv.org/abs/2312.12028
Autor:
Tinsley, Patrick, Purnapatra, Sandip, Mitcheff, Mahsa, Boyd, Aidan, Crum, Colton, Bowyer, Kevin, Flynn, Patrick, Schuckers, Stephanie, Czajka, Adam, Fang, Meiling, Damer, Naser, Liu, Xingyu, Wang, Caiyong, Sun, Xianyun, Chang, Zhaohua, Li, Xinyue, Zhao, Guangzhe, Tapia, Juan, Busch, Christoph, Aravena, Carlos, Schulz, Daniel
This paper describes the results of the 2023 edition of the ''LivDet'' series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack
Externí odkaz:
http://arxiv.org/abs/2310.04541
Autor:
Flynn, Patrick
We prove local well-posedness for the Vlasov-Poisson-Landau system and the variant with massless electrons in a 3D periodic spatial domain for large initial data. This is accomplished by propagating weighted anisotropic L2-based Sobolev norms. In the
Externí odkaz:
http://arxiv.org/abs/2310.00777
Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While current solutions offer substantial performance gains, we show that the
Externí odkaz:
http://arxiv.org/abs/2305.15199
Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the feasibility
Externí odkaz:
http://arxiv.org/abs/2303.09638
Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are currently drive
Externí odkaz:
http://arxiv.org/abs/2303.07944