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The Karhunen-Loeve (KL) Transform is an optimal method for approximating a set of vectors or images, which was used in image processing and computer vision for several tasks such as face and object recognition. Its computational demands and its batch calculation nature have limited its application. Here we present a new, sequential algorithm for calculating the KL basis, which is faster in typical applications and is especially advantageous for image sequences: the KL basis calculation is donedoi:10.1109/icip.1998.723422 dblp:conf/icip/LevyL98 fatcat:gegypiyskrc3pb6seyhzbc6rje