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Descripción
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| In this paper, we propose a memetic based framework called Optimized Symmetric Partial Facegraphs (OSPF) to recognize faces prone to adverse conditions such as facial occlusions, expression and illumination variations. Faces are initially segmented into facial compo- nents and optimal landmarks are automatically generated by exploiting the bilateral sym- metrical property of human faces. The proposed approach combines an improved harmony search algorithm and an intelligent single particle optimizer to take advantage of their global and local search capabilities. Basically, the hybridization version aids to compute the optimal landmarks. These landmarks further serve as the building blocks to intuitively construct the partial facegraphs. The efficiency of the proposed approach has been investi- gated in addressing the facial occlusion problem when only one exemplar face image per subject is available using comprehensive experimental validations. The proposed approach yields improved recognition rates when compared to recent state-of-the-art techniques. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Information Sciences |
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ISSN
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0020-0255 |
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Factor de impacto JCR
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4,305 |
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Información de impacto
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Volumen
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429 |
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DOI
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10.1016/j.ins.2017.11.013 |
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Número de revista
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March 2018 |
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Desde la página
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194 |
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Hasta la página
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214 |
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Mes
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MARZO |
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Ranking
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Journal Rank in Category 12/148 |