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Recognizing faces prone to occlusions and common variations using optimal face subgraphs

Lahasan, B. M., Venkat, I., Al-Betar, M. A., Lutfi, S. L., De Wilde, Philippe (2016) Recognizing faces prone to occlusions and common variations using optimal face subgraphs. Applied Mathematics and Computation, 283 . pp. 316-332. ISSN 0096-3003. (doi:10.1016/j.amc.2016.02.047)

Abstract

An intuitive graph optimization face recognition approach called Harmony Search Oriented-EBGM (HSO-EBGM) inspired by the classical Elastic Bunch Graph Matching (EBGM) graphical model is proposed in this contribution. In the proposed HSO-EBGM, a recent evolutionary approach called harmony search optimization is tailored to automatically determine optimal facial landmarks. A novel notion of face subgraphs have been formulated with the aid of these automated landmarks that maximizes the similarity entailed by the subgraphs. For experimental evaluation, two sets of de facto databases (i.e., AR and Face Recognition Grand Challenge (FRGC) ver2.0) are used to validate and analyze the behavior of the proposed HSO-EBGM in terms of number of subgraphs, varying occlusion sizes, face images under controlled/ideal conditions, realistic partial occlusions, expression variations and varying illumination conditions. For a number of experiments, results justify that the HSO-EBGM shows improved recognition performance when compared to recent state-of-the-art face recognition approaches.

Item Type: Article
DOI/Identification number: 10.1016/j.amc.2016.02.047
Uncontrolled keywords: Harmony search; Face recognition; Occlusion; Optimization; Graphical model
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Philippe De Wilde
Date Deposited: 24 Oct 2016 10:58 UTC
Last Modified: 29 May 2019 18:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58070 (The current URI for this page, for reference purposes)
De Wilde, Philippe: https://orcid.org/0000-0002-4332-1715
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