6 papers
Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via Ocular Cropping
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +1
We focus on ocular biometrics, specifically the periocular region (the area around the eye), which offers high discrimination and minimal acquisition constraints. We evaluate three…
Exploring Complementarity and Explainability in CNNs for Periocular Verification Across Acquisition Distances
Fernando Alonso-Fernandez, Kevin Hernandez Diaz, Jose M. Buades +2
We study the complementarity of different CNNs for periocular verification at different distances on the UBIPr database. We train three architectures of increasing complexity (Sque…
Note on the Construction of Structure Tensor
Josef Bigun, Fernado Alonso-Fernandez
This note presents a theoretical discussion of two structure tensor constructions: one proposed by Bigun and Granlund 1987, and the other by Granlund and Knutsson 1995. At first gl…
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)…
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms
Fernando Alonso-Fernandez, Javier Barrachina, Kevin Hernandez-Diaz +1
Virtual applications through mobile platforms are one of the most critical and ever-growing fields in AI, where ubiquitous and real-time person authentication has become critical a…
Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Prayag Tiwari +1
We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrate…