DocumentCode
3135447
Title
The Development Status and Prospects on the Face Recognition
Author
Hu, Yongmei ; An, Heng ; Guo, Yubing ; Zhang, Chunxiao ; Zhang, Tianyi ; Ye, Li
Author_Institution
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Human face feature recognition is an important direction of the pattern recognition, and is widely used in practical applications. Because of the uncertainty of the face recognition, the impact of posture, facial expressions and the environmental, there is a lot of difficulty in recognition, and people proposed more and more identification methods in this field. This paper will introduce the development methods and technologies of the face recognition, and point out the advantages and disadvantages of these methods, including eigenface, elastic grid method, wavelet transform methods, hidden Markov method (HMM), etc. Finally this paper will point out the prospect of development trends and the future research of this technology.
Keywords
eigenvalues and eigenfunctions; feature extraction; grid computing; hidden Markov models; image recognition; medical image processing; wavelet transforms; eigenface; elastic grid method; facial expressions; feature extraction; hidden Markov method; human face feature recognition; pattern recognition; posture; wavelet transform methods; Detectors; Face detection; Face recognition; Facial features; Hidden Markov models; Humans; Lighting; Neural networks; Pattern recognition; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5517197
Filename
5517197
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