Face recognition and semantic features

Huiyu Zhou, Yuan Yuan, Chunmei Shi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The authors present a face recognition scheme based on semantic features' extraction from faces and tensor subspace analysis. These semantic features consist of eyes and mouth, plus the region outlined by three weight centres of the edges of these features. The extracted features are compared over images in tensor subspace domain. Singular value decomposition is used to solve the eigenvalue problem and to project the geometrical properties to the face manifold. They compare the performance of the proposed scheme with that of other established techniques, where the results demonstrate the superiority of the proposed method.

Original languageEnglish
Title of host publicationSemantic mining technologies for multimedia databases
EditorsDacheng Tao, Dong Xu, Xuelong Li
PublisherIGI Global
Pages80-98
Number of pages19
ISBN (Electronic)978-1-605-66-189-6
ISBN (Print)978-1-605-66188-9, 978-1-616-92602-1
DOIs
Publication statusPublished - Dec 2009

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  • Research Output

    Compressed-domain image retrieval based on colour visual patterns

    Schaefer, G., Dec 2009, Semantic mining technologies for multimedia databases. Tao, D., Xu, D. & Li, X. (eds.). IGI Global, p. 407-418 12 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Intuitive image database navigation by hue-sphere browsing

    Schaefer, G. & Ruszala, S., 1 Dec 2009, Semantic mining technologies for multimedia databases. Tao, D., Xu, D. & Li, X. (eds.). IGI Global, p. 263-270 8 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Cite this

    Zhou, H., Yuan, Y., & Shi, C. (2009). Face recognition and semantic features. In D. Tao, D. Xu, & X. Li (Eds.), Semantic mining technologies for multimedia databases (pp. 80-98). IGI Global. https://doi.org/10.4018/978-1-60566-188-9.ch003