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Research On Facial Features Of Ethnic Minorities Based On Multi-layer Semantic Web Model

Posted on:2013-12-30Degree:MasterType:Thesis
Country:ChinaCandidate:S YanFull Text:PDF
GTID:2298330467471833Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Presently the research on facial features of ethnic minorities is mainly reflected on the research of characteristics of algebra and geometry. But they can not realize the accurate expression of face components because of their limitations. With the widespread application of the semantic web, people gradually introduce it into the research of facial features. This paper realizes the semantic description of face components through the construction of the multi-layer semantic web model, thus achieves the purpose of in-depth discussion and research of the ethnic minorities features.This paper puts forward a kind of multi-layer semantic web model of face components based on the research of ethnic minorities such as Uyghur, Tibetan and Zhuang. It not only contains the connective association of the single semantic components, but also the description of the composite semantic based on the multiple components, which makes the expression of the semantic relationship between the face components more comprehensive. This paper uses the geometric features of the facial and conducts the semantic recognition on face components combined with the mixed model of SVM and HMM. The data samples conduct the localization, segmentation and recognition of the components and the face information expresses as the set vector of components. At the same time, this paper describes the set of face components of the same ethnic minorities by the Bayesian network and analyzes the differences and commonalities among ethnic minorities through the multi-layer semantic web model.The research of this paper not only enriches and extends the description and depiction means of ethnic minorities facial features based on computer vision, but also deepens the related research achievements of anthropology through the use of modern information technology. It provides data support and auxiliary evidence for carrying out the study of ethnic relationship and homology, and also has the important practical significance for the inheritance of ethnic intangible cultural heritage.
Keywords/Search Tags:face components, multi-layer semantic web model, features of ethnic minorities, semantic recognition
PDF Full Text Request
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