A Novel Survey Based on Multiethnic Facial Semantic Web

LI Zedong, DUAN Xiaodong, ZHANG Qingling

Abstract


The face includes a number of facial features which are various in minorities. Firstly, according to the correlations of the face parts shape semantics, multiethnic facial semantic web is proposed. It represents the relationship which belongs to the same minority and the difference of that belongs to the different minorities. Secondly, multiethnic facial semantic web is reduced by the correlations between the parts of the face. The semantic web which is reduced can maintains most available information which is belong to original semantic web, reduces the complexity and indirectly analysis the national facial features. Lastly, the effectiveness of our experiment is demonstrated by some real-word data sets.

 

DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3251

 


Keywords


Facial Features; Correlation; Shape Semantics; Semantic Web

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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