Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Czajka, Adam"'
This work explores how human judgement about salient regions of an image can be introduced into deep convolutional neural network (DCNN) training. Traditionally, training of DCNNs is purely data-driven. This often results in learning features of the
Externí odkaz:
http://arxiv.org/abs/2410.16190
This paper proposes a framework for a privacy-safe iris presentation attack detection (PAD) method, designed solely with synthetically-generated, identity-leakage-free iris images. Once trained, the method is evaluated in a classical way using state-
Externí odkaz:
http://arxiv.org/abs/2408.02750
Incorporating human-perceptual intelligence into model training has shown to increase the generalization capability of models in several difficult biometric tasks, such as presentation attack detection (PAD) and detection of synthetic samples. After
Externí odkaz:
http://arxiv.org/abs/2405.00650
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:
Bhuiyan, Rasel Ahmed, Czajka, Adam
Post-mortem iris recognition is an emerging application of iris-based human identification in a forensic setup. One factor that may be useful in conditioning iris recognition methods is the tissue decomposition level, which is correlated with the pos
Externí odkaz:
http://arxiv.org/abs/2404.10172
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:
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:
Bhuiyan, Rasel Ahmed, Czajka, Adam
Post-mortem iris recognition is an emerging application of iris-based human identification in a forensic setup, able to correctly identify deceased subjects even three weeks post-mortem. This technique thus is considered as an important component of
Externí odkaz:
http://arxiv.org/abs/2312.04125
Autor:
Crum, Colton R., Czajka, Adam
Incorporating human perception into training of convolutional neural networks (CNN) has boosted generalization capabilities of such models in open-set recognition tasks. One of the active research questions is where (in the model architecture) and ho
Externí odkaz:
http://arxiv.org/abs/2310.19545
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