articleJun 1, 2015Closed access

Effective face frontalization in unconstrained images

Open University of Israel

Indexed incrossref

Abstract

“Frontalization” is the process of synthesizing frontal facing views of faces appearing in single unconstrained photos. Recent reports have suggested that this process may substantially boost the performance of face recognition systems. This, by transforming the challenging problem of recognizing faces viewed from unconstrained viewpoints to the easier problem of recognizing faces in constrained, forward facing poses. Previous frontalization methods did this by attempting to approximate 3D facial shapes for each query image. We observe that 3D face shape estimation from unconstrained photos may be a harder problem than frontalization and can potentially introduce facial misalignments. Instead, we explore the…

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Authors

4

Topics & keywords

Keywords
  • Computer science
  • Face (sociological concept)
  • Artificial intelligence
  • Viewpoints
  • Process (computing)
  • Computer vision
  • Facial recognition system
  • Image (mathematics)
UN Sustainable Development Goals
  • Gender equality
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