Approximation by Spline Curves: towards an Application to Cognitive Neuroscience
Maria-Laura Torrente, Stefano Anzellotti, Chiara Finocchiaro and, Claudio Fontanari
TL;DR
This paper introduces a method for approximating plane contours with spline curves, aiming to understand shape representation in cognitive neuroscience.
Contribution
It proposes a flexible spline approximation procedure tailored for analyzing shape information in neuroscience research.
Findings
Provides a parameterized spline approximation method.
Facilitates analysis of shape representation in neural studies.
Offers a tool adaptable to various contour complexities.
Abstract
We present a procedure to approximate a plane contour by piecewise polynomial functions, depending on various parameters, such as degree, number of local patches, selection of knots. This procedure aims to be adopted to study how information about shape is represented.
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Taxonomy
TopicsImage Retrieval and Classification Techniques · Image and Signal Denoising Methods · Neural Networks and Applications