DocumentCode
438868
Title
Orthogonal ICA representation of images
Author
Jin, Zhong ; Davoine, Franck
Author_Institution
Centre de Visio per Computador, Univ. Autonoma de Barcelona, Spain
Volume
1
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
369
Abstract
Firstly, this paper answered one interesting question: what is orthogonal in ICA? We discussed the non-orthogonality of ICA transformation and claimed that the independent components (ICs) by the FastICA algorithm are orthogonal. Based on this orthogonality, an orthogonal ICA representation (OICA) of images was proposed. Experiments on ORL database, Yale database and CMU database with OICA were performed. More work is needed to discover any advantage of OICA.
Keywords
image representation; independent component analysis; CMU database; FastICA algorithm; ORL database; Yale database; independent components; orthogonal ICA representation; Arm; Blind source separation; Covariance matrix; Face recognition; Image analysis; Image databases; Independent component analysis; Principal component analysis; Random variables; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1468853
Filename
1468853
Link To Document