Face recognition and semantic features

Huiyu Zhou; Yuan Yuan; Chunmei Shi

doi:10.4018/978-1-60566-188-9.ch003

Face recognition and semantic features

Huiyu Zhou
, Yuan Yuan
, Chunmei Shi

Computer Science Research Group

Research output: Chapter in Book/Published conference output › Chapter

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 language	English
Title of host publication	Semantic mining technologies for multimedia databases
Editors	Dacheng Tao, Dong Xu, Xuelong Li
Publisher	IGI Global
Pages	80-98
Number of pages	19
ISBN (Electronic)	978-1-605-66-189-6
ISBN (Print)	978-1-605-66188-9, 978-1-616-92602-1
DOIs	https://doi.org/10.4018/978-1-60566-188-9.ch003
Publication status	Published - Dec 2009

Access to Document

10.4018/978-1-60566-188-9.ch003

Cite this

@inbook{2ee82f663f2c4be9bd19ab8f2281c7d6,

title = "Face recognition and semantic features",

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.",

author = "Huiyu Zhou and Yuan Yuan and Chunmei Shi",

year = "2009",

month = dec,

doi = "10.4018/978-1-60566-188-9.ch003",

language = "English",

isbn = "978-1-605-66188-9",

pages = "80--98",

editor = "Dacheng Tao and Dong Xu and Xuelong Li",

booktitle = "Semantic mining technologies for multimedia databases",

publisher = "IGI Global",

address = "United States",

}

TY - CHAP

T1 - Face recognition and semantic features

AU - Zhou, Huiyu

AU - Yuan, Yuan

AU - Shi, Chunmei

PY - 2009/12

Y1 - 2009/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84898510634

UR - http://www.igi-global.com/gateway/chapter/28829

U2 - 10.4018/978-1-60566-188-9.ch003

DO - 10.4018/978-1-60566-188-9.ch003

M3 - Chapter

AN - SCOPUS:84898510634

SN - 978-1-605-66188-9

SN - 978-1-616-92602-1

SP - 80

EP - 98

BT - Semantic mining technologies for multimedia databases

A2 - Tao, Dacheng

A2 - Xu, Dong

A2 - Li, Xuelong

PB - IGI Global

ER -

Face recognition and semantic features

Abstract

Access to Document

Other files and links

Fingerprint

Compressed-domain image retrieval based on colour visual patterns

Intuitive image database navigation by hue-sphere browsing

Cite this