Now showing items 1-2 of 2

    • 2D methods for pose invariant face recognition 

      Mokoena, Nthabiseng; Helberg, Albert; Tsague, Hippolyte Djonon (IEEE, 2017)
      The ability to recognise face images under random pose is a task that is done effortlessly by human beings. However, for a computer system, recognising face images under varying poses still remains an open research area. ...
    • Patch-based pose invariant face feature classification 

      Mokoena, N.M.E. (North-West University, 2018)
      Real world face recognition systems are now successfully developed to recognise faces in frontal view. One of the most challenging tasks facing state-of-the-art face recognition algorithms is how to handle variations caused ...