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Robust spontaneous facial expression recognition using sparse representation

Aina, S, Chambers, JA and Phan, RCW (2013) Robust spontaneous facial expression recognition using sparse representation

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Abstract

There is very limited literature currently on the use of Sparse Representation (SRC) for the recognition of facial expressions and as far most facial expression analyses; they have been based on posed image databases. These comprise of expressions that often differ from the realistic displays of the expressions that depict affective states. To offer a more practical solution, we apply a recently proposed approach for SRC to the Facial Expression Recognition (FER) problem using the recently developed Natural Visible and Infrared facial Expression (NVIE) database of spontaneous images. We expand the database in order to satisfy the condition of an underdetermined (overcomplete) dictionary and present results showing better recognition rates for spontaneous images than in the existing literature (albeit limited).

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Aina, SUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Phan, RCWUNSPECIFIEDUNSPECIFIED
Date : 1 December 2013
Identification Number : https://doi.org/10.1049/cp.2013.2063
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:24
Last Modified : 17 May 2017 13:24
URI: http://epubs.surrey.ac.uk/id/eprint/839075

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