Recognizing 2-tone images in grey-level parametric eigenspaces

doi:10.1016/S0167-8655(02)00126-5

2002-12-01

PRE

Jasna Maver

Aleš Leonardis

DOI：10.1016/S0167-8655(02)00126-5

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摘要

En 中文

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. (C) 2002 Elsevier Science B.V. All rights reserved.

Keyword:

parametric eigenspaces

appearance-based object recognition

2-tone images

binary images