title: Three-dimensional object-distortion-tolerant recognition for integral imaging using independent component analysis.
abstract: Independent component analysis (ICA) aims at extracting unknown components from multivariate data assuming that the underlying components are mutually independent. This technique has been successfully applied to the recognition and classification of objects. We present a method that combines the benefits of ICA and the ability of the integral imaging technique to obtain 3D information for the recognition of 3D objects with different orientations. Our recognition is also possible when the 3D objects are partially occluded by intermediate objects.
authors.affiliation: Department of Electrical and Computer Engineering, University of Connecticut, 371 Fairfield Road U-2157 Storrs,Connecticut 06269-2157, USA. cuong.do@uconn.edu
authors.forename: Cuong Manh
authors.initials: CM
authors.lastname: Do
authors.forename: Raúl
authors.initials: R
authors.lastname: Martínez-Cuenca
authors.forename: Bahram
authors.initials: B
authors.lastname: Javidi