78 citations · 242 across the 18 of their papers we have counts for
18 papers
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…
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…
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…
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…