Facial image retrieval through compound queries using constrained independent component analysis

被引：3

作者：

Ahmed, Bilal ^{[1
]}

Rasheed, Tahir ^{[1
]}

Lee, Young-Koo ^{[1
]}

Lee, Sungyoung ^{[1
]}

Kim, Tae-Seong ^{[2
]}

机构：

[1] Kyung Hee Univ, Dept Comp Engn, Ubiquitous Comp Lab, Suwon, South Korea

[2] Kyung Hee Univ, Bioimaging Lab, Dept Biomed Engn, Suwon, South Korea

来源：

19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL I, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/ICTAI.2007.60

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). We have employed cICA for the online extraction of those independent components from the entire database which bear some similarity to the query-images. Instead of using any offline learning mechanism or feature extraction technique, our system works completely online. It can cater for queries formulated from both single and multiple examples, for achieving higher accuracy. For compound queries, instead of treating each query-image independently, the system is capable of finding images similar not only to the individual query-images, but also to their different combinations(1).

引用

页码：544 / +

页数：2

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