Title :
Orthogonal ICA representation of images
Author :
Jin, Zhong ; Davoine, Franck
Author_Institution :
Centre de Visio per Computador, Univ. Autonoma de Barcelona, Spain
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;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1468853
