Now showing items 1-3 of 3

    • Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets 

      Varkarakis, Viktor; Bazrafkan, Shabab; Corcoran, Peter (Elsevier, 2019-08-01)
      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 complexity the resulting network achieves a high ...
    • Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera 

      Bazrafkan, Shabab; Javidnia, Hossein; Lemley, Joseph; Corcoran, Peter (Society of Photo-optical Instrumentation Engineers (SPIE), 2018-08-07)
      Deep neural networks have been applied to a wide range of problems in recent years. Convolutional neural network is applied to the problem of determining the depth from a single camera image (monocular depth). Eight different ...
    • Unconstrained palmprint as a smartphone biometric 

      Ungureanu, Adrian-Stefan; Thavalengal, Shejin; Cognard, Timothée E.; Costache, Claudia; Corcoran, Peter (IEEE, 2017-11-13)
      In this work the use of palmprints as an alternative biometric for smartphones is investigated and its feasibility is evaluated across multiple devices using unconstrained acquisition. A novel multi-device database that ...