no code implementations • 6 Oct 2023 • Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton Crum, Kevin Bowyer, Patrick Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan Tapia, Christoph Busch, Carlos Aravena, Daniel Schulz
New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark.
no code implementations • 30 Aug 2023 • Kagan Ozturk, Grace Bezold, Aman Bhatta, Haiyu Wu, Kevin Bowyer
To investigate the effect of facial hair in a rigorous manner, we first created a set of fine-grained facial hair annotations to train a segmentation model and evaluate its accuracy across African-American and Caucasian face images.
no code implementations • 8 Jun 2023 • Colton R. Crum, Aidan Boyd, Kevin Bowyer, Adam Czajka
We compare the accuracy achieved by our teacher-student training paradigm with (1) training using all available human salience annotations, and (2) using all available training data without human salience annotations.
no code implementations • 21 Mar 2023 • Colton Crum, Patrick Tinsley, Aidan Boyd, Jacob Piland, Christopher Sweet, Timothy Kelley, Kevin Bowyer, Adam Czajka
In this paper, we propose five novel methods of leveraging model salience to explain a model behavior at scale.
no code implementations • 22 Aug 2022 • Aidan Boyd, Patrick Tinsley, Kevin Bowyer, Adam Czajka
Face image synthesis has progressed beyond the point at which humans can effectively distinguish authentic faces from synthetically generated ones.
no code implementations • 22 Aug 2022 • Aidan Boyd, Jeremy Speth, Lucas Parzianello, Kevin Bowyer, Adam Czajka
We have curated the largest publicly-available image dataset for this problem, drawing from 26 benchmarks previously released by various groups, and adding 150, 000 images being released with the journal version of this paper, to create a set of 450, 000 images representing authentic iris and seven types of presentation attack instrument (PAI).
no code implementations • 5 Aug 2022 • Sandipan Banerjee, Walter Scheirer, Kevin Bowyer, Patrick Flynn
In this article, we analyze how changing the underlying 3D shape of the base identity in face images can distort their overall appearance, especially from the perspective of deep face recognition.
no code implementations • 3 Aug 2022 • Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin Bowyer, Adam Czajka
Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in their efforts to identify deceased persons.
1 code implementation • 1 Dec 2021 • Aidan Boyd, Patrick Tinsley, Kevin Bowyer, Adam Czajka
This new approach incorporates human-annotated saliency maps into a loss function that guides the model's learning to focus on image regions that humans deem salient for the task.
1 code implementation • 1 Dec 2021 • Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin Bowyer, Patrick Flynn, Dennis Chute, Eric Benjamin
In this paper, we present an end-to-end deep learning-based method for postmortem iris segmentation and recognition with a special visualization technique intended to support forensic human examiners in their efforts.
no code implementations • 8 Nov 2021 • Bingyu Shen, Brandon RichardWebster, Alice O'Toole, Kevin Bowyer, Walter J. Scheirer
In this paper, we introduce a study of the human perception of synthetic faces generated using different strategies including a state-of-the-art deep learning-based GAN model.
no code implementations • 7 May 2021 • Aidan Boyd, Kevin Bowyer, Adam Czajka
One ongoing challenge is how to achieve the greatest accuracy in cases where training data is limited.
no code implementations • 27 Mar 2021 • Shervin Minaee, Ping Luo, Zhe Lin, Kevin Bowyer
In this work, we provide a detailed overview of some of the most representative deep learning based face detection methods by grouping them into a few major categories, and present their core architectural designs and accuracies on popular benchmarks.
no code implementations • 11 Jan 2021 • Jeremy Speth, Nathan Vance, Patrick Flynn, Kevin Bowyer, Adam Czajka
Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras.
no code implementations • 1 Sep 2020 • Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin Bowyer, Adam Czajka, Stephanie Schuckers, Juan Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection (PAD).
no code implementations • 20 Feb 2020 • Aidan Boyd, Adam Czajka, Kevin Bowyer
We use (on purpose) a single-layer convolutional neural network as it mimics an iris code-based algorithm.
1 code implementation • 20 Feb 2020 • Aidan Boyd, Adam Czajka, Kevin Bowyer
Features are extracted from each convolutional layer and the classification accuracy achieved by a Support Vector Machine is measured on a dataset that is disjoint from the samples used in training of the ResNet-50 model.
no code implementations • 13 Jan 2020 • Aparna Bharati, Daniel Moreira, Patrick Flynn, Anderson Rocha, Kevin Bowyer, Walter Scheirer
To establish the efficacy of the proposed approach, comparisons with state-of-the-art handcrafted and deep learning-based descriptors, and image matching approaches are made.
no code implementations • 15 Apr 2019 • KS Krishnapriya, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin Bowyer
For a fixed decision threshold, the African-American image cohort has a higher false match rate and a lower false non-match rate.
no code implementations • 24 Mar 2019 • Joel Brogan, Aparna Bharati, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks.
1 code implementation • 4 Jan 2019 • Daniel Kerrigan, Mateusz Trokielewicz, Adam Czajka, Kevin Bowyer
This paper offers three new, open-source, deep learning-based iris segmentation methods, and the methodology how to use irregular segmentation masks in a conventional Gabor-wavelet-based iris recognition.
no code implementations • 25 Nov 2018 • Andrey Kuehlkamp, Kevin Bowyer
Predicting gender from iris images has been reported by several researchers as an application of machine learning in biometrics.
1 code implementation • 25 Nov 2018 • Andrey Kuehlkamp, Allan Pinto, Anderson Rocha, Kevin Bowyer, Adam Czajka
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and printouts).
Cross-Domain Iris Presentation Attack Detection Iris Recognition +1
no code implementations • 22 Mar 2018 • Andrey Kuehlkamp, Kevin Bowyer
Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program.
1 code implementation • 1 Jun 2017 • Allan Pinto, Daniel Moreira, Aparna Bharati, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence digital objects and collections over time.
1 code implementation • 31 May 2017 • Aparna Bharati, Daniel Moreira, Allan Pinto, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through doctored visual media.
no code implementations • 1 May 2017 • Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows.
no code implementations • 4 Feb 2017 • Andrey Kuehlkamp, Benedict Becker, Kevin Bowyer
Predicting a person's gender based on the iris texture has been explored by several researchers.