Robust visual hashing via ICA

被引：1

作者：

Fournel, Thierry ^{[1
]}

Coltuc, Daniela ^{[2
]}

机构：

[1] Univ St Etienne, Univ Lyon, Lab Hubert Curien, CNRS UJM,UMR 5516, 18 Rue Pr Lauras, F-42000 St Etienne, France

[2] Univ Politechn Bucharest, Fac Elect, Fac Telecommun & Informat Technol, Bucharest, Romania

来源：

2009 INTERNATIONAL WORKSHOP ON INFORMATION OPTICS | 2010年 / 206卷

关键词：

D O I：

10.1088/1742-6596/206/1/012035

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Designed to maximize information transmission in the presence of noise, independent component analysis (ICA) could appear in certain circumstances as a statistics-based tool for robust visual hashing. Several ICA-based scenarios can attempt to reach this goal. A first one is here considered.

引用

页数：2