Recognition of Geometrical Shapes by Dictionary Learning

• URL: http://arxiv.org/abs/2504.10958v1
• Date: Tue, 15 Apr 2025 08:05:16 GMT
• Title: Recognition of Geometrical Shapes by Dictionary Learning
• Authors: Alexander Köhler, Michael Breuß,
• Abstract summary: We present a first approach to make dictionary learning work for shape recognition.<n>The choice of the underlying optimization method has a significant impact on recognition quality.<n> Experimental results confirm that dictionary learning may be an interesting method for shape recognition tasks.
• Score: 49.30082271910632
• License: http://creativecommons.org/licenses/by/4.0/
• 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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