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Unified probabilistic models for face recognition from a single example image per person
Liao, P; Shen, L
2004-05-01
发表期刊JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN1000-9000
卷号19期号:3页码:383-392
摘要This paper presents a new technique of unified probabilistic models for face recognition from only one single example image per person. The unified models, trained on an obtained training set with multiple samples per person, are used to recognize facial images from another disjoint database with a single sample per person. Variations between facial images are modeled as two unified probabilistic models: within-class variations and between-class variations. Gaussian Mixture Models are used to approximate the distributions of the two variations and exploit a classifier combination method to improve the performance. Extensive experimental results on the ORL face database and the authors' database (the ICT-JDL. database) including totally 1,750 facial images of 350 individuals demonstrate that the proposed technique, compared with traditional eigenface method and some well-known traditional algorithms, is a significantly more effective and robust approach for face recognition.
关键词pattern recognition face recognition Gaussian mixture model classifier combination unified probabilistic model
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号WOS:000221509800012
出版者SCIENCE CHINA PRESS
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13986
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liao, P
作者单位Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
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GB/T 7714
Liao, P,Shen, L. Unified probabilistic models for face recognition from a single example image per person[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2004,19(3):383-392.
APA Liao, P,&Shen, L.(2004).Unified probabilistic models for face recognition from a single example image per person.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,19(3),383-392.
MLA Liao, P,et al."Unified probabilistic models for face recognition from a single example image per person".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 19.3(2004):383-392.
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