278 citations · 307 across the 6 of their papers we have counts for
7 papers · 1 filter
Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)
Muhammad Ali Farooq, Peter Corcoran, Cosmin Rotariu +1
Object detection in thermal infrared spectrum provides more reliable data source in low-lighting conditions and different weather conditions, as it is useful both in-cabin and outs…
Towards End-to-End Neural Face Authentication in the Wild -- Quantifying and Compensating for Directional Lighting Effects
Viktor Varkarakis, Wang Yao, Peter Corcoran
The recent availability of low-power neural accelerator hardware, combined with improvements in end-to-end neural facial recognition algorithms provides, enabling technology for on…
Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
Muhammad Ali Farooq, Peter Corcoran
Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for…
Dataset Cleaning -- A Cross Validation Methodology for Large Facial Datasets using Face Recognition
Viktor Varkarakis, Peter Corcoran
In recent years, large "in the wild" face datasets have been released in an attempt to facilitate progress in tasks such as face detection, face recognition, and other tasks. Most…
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
Adrian-S. Ungureanu, Saqib Salahuddin, Peter Corcoran
As a biometric palmprints have been largely under-utilized, but they offer some advantages over fingerprints and facial biometrics. Recent improvements in imaging capabilities on h…
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Although of low comple…