no code implementations • 8 Apr 2021 • Viktor Varkarakis, Wang Yao, Peter Corcoran
This work shows that an SoA neural face recognition model can be tuned to compensate for directional lighting effects, removing the need for a pre-processing step before applying facial recognition.
no code implementations • 24 Mar 2020 • Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran
The role of this tool in building large, scalable datasets of synthetic facial data is also discussed.
no code implementations • 24 Mar 2020 • Viktor Varkarakis, Peter Corcoran
In this work, it is presented a semi-automatic method for cleaning the noisy large face datasets with the use of face recognition.
no code implementations • 13 Mar 2020 • Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis, Peter Corcoran
The experimental results demonstrate notable improvement in train and validation accuracy by using the refined version of images of both the networks, however, the Inception-v3 network was able to achieve better validation accuracy thus it was finally selected to evaluate it on test data.
no code implementations • 1 Mar 2019 • 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.