Recognizing 2-tone images in grey-level parametric eigenspaces

Authors:
Jasna Maver;Ales Leonardis
Affiliations:
Faculty of Computer and Information Science, University of Ljubljana, Trzaska 25, SI-1001 Ljubljana, Slovenia and Faculty of Arts, University of Ljubljana, Askerceva 2, SI-1001 Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana, Trzaska 25, SI-1001 Ljubljana, Slovenia
Venue:
Pattern Recognition Letters
Year:
2002

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Abstract

Standard approaches to recognition using parametric eigenspaces have been designed under the assumption that the training images and the input images to be recognized are of the same type. In this paper we propose a novel approach which demonstrates that having an eigenspace encompassing a set of grey-level images, it is possible to recover the eigenspace coefficients and consequently recognize the input images even in the cases when the input images are 2-tone images of the objects in the training set. We present the recognition results of 2-tone images using the eigenspace built from a set of grey-level images.