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
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381048
