Addressing the illumination challenge in two-dimensional face recognition: A survey

Miguel A. Ochoa-Villegas, Juan A. Nolazco-Flores, Olivia Barron-Cano, Ioannis A. Kakadiaris

Research output: Contribution to journalReview articlepeer-review

32 Scopus citations


Uncontrolled illumination is one of the most widely researched and most encountered face recognition challenges in recent years. In this study, the authors propose the division of algorithms into two categories: (i) relighting and (ii) unlighting. Relighting methods try to match the probe's illumination conditions using a subset of representative gallery images, while unlighting methods seek to suppress the variations. A total of 64 state-of-the-art methods are summarised and categorised in each of the groups. To make this work concise and easy to follow, they restricted themselves to selected conferences/journals and they limited the number of approaches reviewed. Also, eight past state-of-the-art approaches are used in both identification and verification experiments. However, only significant reported results from all methods were compared and organised in tables. The author's main objective is not to provide an exhaustive analysis of each category, but to present a collection of papers that can be useful in identifying research directions. Results indicate that unlighting methods are a better and a practical solution to address illumination challenges.

Original languageEnglish (US)
Pages (from-to)978-992
Number of pages15
JournalIET Computer Vision
Issue number6
StatePublished - Dec 1 2015

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition


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