Recognition of Geometrical Shapes by Dictionary Learning

Alexander Köhler; Michael Breuß

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arXiv · 2504.10958

Recognition of Geometrical Shapes by Dictionary Learning

Alexander Köhler·Michael Breuß

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Abstract

Dictionary learning is a versatile method to produce an overcomplete set of vectors, called atoms, to represent a given input with only a few atoms. In the literature, it has been used primarily for tasks that explore its powerful representation capabilities, such as for image reconstruction. In this work, we present a first approach to make dictionary learning work for shape recognition, considering specifically geometrical shapes. As we demonstrate, the choice of the underlying optimization method has a significant impact on recognition quality. Experimental results confirm that dictionary learning may be an interesting method for shape recognition tasks.

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Alexander Köhler, Michael Breuß. 2025-04-15. Recognition of Geometrical Shapes by Dictionary Learning. https://arxiv.org/abs/2504.10958

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