articleIEEE Transactions on Affective ComputingDec 29, 2014GREEN OA

Automatic facial expression recognition using features of salient facial patches

Indian Institute of Technology Kharagpur

Indexed inarxivcrossref

Abstract

Extraction of discriminative features from salient facial patches plays a vital role in effective facial expression recognition. The accurate detection of facial landmarks improves the localization of the salient patches on face images. This paper proposes a novel framework for expression recognition by using appearance features of selected facial patches. A few prominent facial patches, depending on the position of facial landmarks, are extracted which are active during emotion elicitation. These active patches are further processed to obtain the salient patches which contain discriminative features for classification of each pair of expressions, thereby selecting different facial patches as salient for…

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590
total citations
FWCI
24.47
Percentile
100%
References
72
Citations per year

Authors

2

Topics & keywords

Keywords
  • Landmark
  • Discriminative model
  • Artificial intelligence
  • Facial expression
  • Salient
  • Pattern recognition (psychology)
  • Computer science
  • Face hallucination
UN Sustainable Development Goals
  • Reduced inequalities
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