212 citations · 1.7k across the 73 of their papers we have counts for
77 papers
Infectious behaviour: Simulating the effects of communication and social influence on pathogen transmission in crowds
Sophia Johanna Wagner, Anne Templeton, Gerta Köster
Public health measures at mass gatherings work only if people follow them, and adherence depends both on how instructions are communicated and what others do. We link these behavio…
EPIMETHEUS: Effective point spread function inferred from mosaics
Pietro Benotto, Benedetta Vulcani, Vittoria Altomonte
Accurate knowledge of the point spread function (PSF) is essential for a wide range of astronomical applications, from astrometry to precision photometry. However, deriving a robus…
Blimp-based Crime Scene Analysis
Martin Cooney, Fernando Alonso-Fernandez
Crime is a critical problem -- which often takes place behind closed doors, posing additional difficulties for investigators. To bring hidden truths to light, evidence at indoor cr…
Nano Drone-based Indoor Crime Scene Analysis
Martin Cooney, Sivadinesh Ponrajan, Fernando Alonso-Fernandez
Technologies such as robotics, Artificial Intelligence (AI), and Computer Vision (CV) can be applied to crime scene analysis (CSA) to help protect lives, facilitate justice, and de…
Deep Network Pruning: A Comparative Study on CNNs in Face Recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +2
The widespread use of mobile devices for all kinds of transactions makes necessary reliable and real-time identity authentication, leading to the adoption of face recognition (FR)…
Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Our study provides evidence that CNNs struggle to effectively extract orientation features. We show that the use of Complex Structure Tensor, which contains compact orientation fea…
Designing Robots to Help Women
Martin Cooney, Lena Klasén, Fernando Alonso-Fernandez
Robots are being designed to help people in an increasing variety of settings--but seemingly little attention has been given so far to the specific needs of women, who represent ro…
Keypoint Description by Symmetry Assessment -- Applications in Biometrics
Anna Mikaelyan, Fernando Alonso-Fernandez, Josef Bigun
We present a model-based feature extractor to describe neighborhoods around keypoints by finite expansion, estimating the spatially varying orientation by harmonic functions. The i…
Exploring Deep Learning Image Super-Resolution for Iris Recognition
Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez +1
In this work we test the ability of deep learning methods to provide an end-to-end mapping between low and high resolution images applying it to the iris recognition problem. Here,…
Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition
Fernando Alonso-Fernandez, Kiran B. Raja, Christoph Busch +1
The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop whe…
FIVA: Facial Image and Video Anonymization and Anonymization Defense
Felix Rosberg, Eren Erdal Aksoy, Cristofer Englund +1
In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA. Our proposed method is able to maintain the same face anonymization con…
EFaR 2023: Efficient Face Recognition Competition
Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…
Periocular biometrics: databases, algorithms and directions
Fernando Alonso-Fernandez, Josef Bigun
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to th…
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades +2
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially pro…
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +1
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication. In this context, facial recognition technolog…
Drone navigation and license place detection for vehicle location in indoor spaces
Moa Arvidsson, Sithichot Sawirot, Cristofer Englund +3
Millions of vehicles are transported every year, tightly parked in vessels or boats. To reduce the risks of associated safety issues like fires, knowing the location of vehicles is…
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
One weakness of machine-learning algorithms is the need to train the models for a new task. This presents a specific challenge for biometric recognition due to the dynamic nature o…
Secure access system using signature verification over tablet PC
Fernando Alonso-Fernandez, Julian Fierrez-Aguilar, Javier Ortega-Garcia +1
Low-cost portable devices capable of capturing signature signals are being increasingly used. Additionally, the social and legal acceptance of the written signature for authenticat…
Evaluation of direct attacks to fingerprint verification systems
J. Galbally, J. Fierrez, F. Alonso-Fernandez +1
The vulnerabilities of fingerprint-based recognition systems to direct attacks with and without the cooperation of the user are studied. Two different systems, one minutiae-based a…
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
Jonathan Karlsson, Fredrik Strand, Josef Bigun +3
Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to imp…
Synthetic Data for Object Classification in Industrial Applications
August Baaz, Yonan Yonan, Kevin Hernandez-Diaz +2
One of the biggest challenges in machine learning is data collection. Training data is an important part since it determines how the model will behave. In object classification, ca…
Image-Based Fire Detection in Industrial Environments with YOLOv4
Otto Zell, Joel Pålsson, Kevin Hernandez-Diaz +2
Fires have destructive power when they break out and affect their surroundings on a devastatingly large scale. The best way to minimize their damage is to detect the fire as quickl…
Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence
Fernando Alonso-Fernandez, Julian Fierrez-Aguilar, Hartwig Fronthaler +4
We report on experiments for the fingerprint modality conducted during the First BioSecure Residential Workshop. Two reference systems for fingerprint verification have been tested…
Periocular Biometrics: A Modality for Unconstrained Scenarios
Fernando Alonso-Fernandez, Josef Bigun, Julian Fierrez +3
Periocular refers to the externally visible region of the face that surrounds the eye socket. This feature-rich area can provide accurate identification in unconstrained or uncoope…