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Recognising Familiar Facial Features in Paintings Belonging to Separate Domains

  • Wilbert TaboneEmail author
  • Dylan Seychell
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9256)

Abstract

We present a system\(^1\) that detects faces in various paintings and subsequently recognise and points out any similarities that a certain face in one painting may have to another on a different artwork. The results would be ranked up according to similarity in a bid to produce an output that may assist art researchers to discover new links between different works which pertain to the same or different artist. Through various tests conducted, we have proved that our method was successful in exposing new links of similarity in various scenarios including cases where the human visual system failed to pinpoint any.

Keywords

Linear Discriminant Analysis Human Visual System Face Detection Query Image Histogram Equalisation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.St. Martin’s Institute of Higher EducationHamrun Malta

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