Detecting faces in images: a survey

Honda (United States) · University of Illinois Urbana-Champaign

Indexed incrossref

Abstract

Images containing faces are essential to intelligent vision-based human-computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation and expression recognition. However, many reported methods assume that the faces in an image or an image sequence have been identified and localized. To build fully automated systems that analyze the information contained in face images, robust and efficient face detection algorithms are required. Given a single image, the goal of face detection is to identify all image regions which contain a face, regardless of its 3D position, orientation and lighting conditions. Such a problem is challenging because faces are non-rigid…

Citation impact

3,440
total citations
FWCI
136.15
Percentile
100%
References
213
Citations per year

Authors

3

Topics & keywords

Keywords
  • Artificial intelligence
  • Computer science
  • Computer vision
  • Face (sociological concept)
  • Face detection
  • Facial recognition system
  • Object-class detection
  • Orientation (vector space)
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