Personne
André Anjos
Publications associées (40)
Face Recognition Systems Under Spoofing Attacks
Sébastien Marcel, André Anjos, Ivana Chingovska
In this chapter we give an overview of spoofing attacks and spoofing counter-measures for face recognition systems, in particular in a verification sce- nario. We focus on 2D and 3D attacks to Visible Spectrum systems (VIS), as well as Near Infrared (NIR) ...
Idiap2020Competitive Neural Layer-based Method to Identify People with High Risk for Diabetic Foot
Background and objective: To automatically identify patients with diabetes mellitus (DM) who have high risk of developing diabetic foot, via an unsupervised machine learning technique. Methods: We collected a new database containing 54 known risk factors f ...
2020The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models
The segmentation of the retinal vasculature from eye fundus images represents one of the most fundamental tasks in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures ...
2020Evaluation Methodologies for Biometric Presentation Attack Detection
Sébastien Marcel, André Anjos, Ivana Chingovska, Amir Mohammadi
Presentation attack detection (PAD, also known as anti-spoofing) systems, regardless of the technique, biometric mode or degree of independence of external equipment, are most commonly treated as binary classification systems. The two classes that they dif ...
Springer International Publishing2019Heterogeneous Face Recognition Using Domain Specific Units
Sébastien Marcel, André Anjos, Tiago De Freitas Pereira
The task of Heterogeneous Face Recognition consists in matching face images that are sensed in different domains, such as sketches to photographs (visual spectra images), thermal images to photographs or near-infrared images to photographs.
In this work we ...
2019Recent Advances in Face Presentation Attack Detection
Sébastien Marcel, André Anjos, Amir Mohammadi
The undeniable convenience of face-recognition (FR) based biometrics has made it an attractive tool for access control in various applications, from immigration-control to remote banking. Widespread adopti
on of face biometrics, however, depends on the how ...
Springer2019An Introduction to Vein Presentation Attacks and Detection
Sébastien Marcel, André Anjos, Pedro Tomé
The domain of presentation attacks (PA), including vulnerability studies and detection (PAD) remains very much unexplored by available scientific literature in biometric vein recognition. Contrary to other modalities that use visual spectral sensors for ca ...
Springer International Publishing2019Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network
Sébastien Marcel, André Anjos, Zohreh Mostaani
Face recognition is a mainstream biometric authentication method. However, vulnerability to presentation attacks (a.k.a spoofing) limits its usability in unsupervised applications. Even though there are many methods available for tackling presentation atta ...
2019Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network
Sébastien Marcel, André Anjos, Zohreh Mostaani
Face recognition is a mainstream biometric authentication method. However, vulnerability to presentation attacks (a.k.a spoofing) limits its usability in unsupervised applications. Even though there are many methods available for tackling presentation atta ...
2019On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy
We identify and address three research gaps in the field of vessel segmentation for funduscopy. The first focuses on the task of inference on high-resolution fundus images for which only a limited set of ground-truth data is publicly available. Notably, we ...
Idiap2019