DocumentCode
424051
Title
Recognizing objects in non-controlled backgrounds by an appearance two-step approach
Author
Vicente, M. Asuncion ; Fernandez, Cesar ; Reinoso, Oscar
Author_Institution
Dept. of Industrial Syst. Eng., Miguel Hernandez Univ., Alicante, Spain
Volume
4
fYear
2004
fDate
25-29 July 2004
Firstpage
2565
Abstract
This work presents a method for identifying real three-dimensional objects in non-controlled backgrounds using independent component analysis to eliminate redundant image information present in each object image. The proposed method is a two-step process that allows a coarse color-based detection and an exact localization using shape information. The paper describes an efficient implementation, making this approach suitable for real-time applications.
Keywords
image colour analysis; independent component analysis; object recognition; appearance two-step approach; coarse color-based detection; independent component analysis; noncontrolled backgrounds; object recognition; three-dimensional object identification; Covariance matrix; Eigenvalues and eigenfunctions; Image recognition; Independent component analysis; Phase detection; Power system modeling; Principal component analysis; Robustness; Shape; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1381048
Filename
1381048
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