A Method for Visuo-Spatial Classification of Freehand Shapes Freely Sketched

TL;DR

This paper introduces a new method for analyzing freehand geometric sketches online, enabling classification, comparison, and clustering based on visuo-spatial properties, with promising accuracy in pattern comparison tasks.

Contribution

The paper presents a novel visuo-spatial analysis method for geometrical sketches that supports multi-level analysis including classification and dissimilarity measurement.

Findings

Achieved over 95% accuracy in sketch classification tasks.

Successfully compared sketches to perfect geometric patterns.

Demonstrated effective dissimilarity measurement between sketches.

Abstract

We present the principle and the main steps of a new method for the visuo-spatial analysis of geometrical sketches recorded online. Visuo-spatial analysis is a necessary step for multi-level analysis. Multi-level analysis simultaneously allows classification, comparison or clustering of the constituent parts of a pattern according to their visuo-spatial properties, their procedural strategies, their structural or temporal parameters, or any combination of two or more of those parameters. The first results provided by this method concern the comparison of sketches to some perfect patterns of simple geometrical figures and the measure of dissimilarity between real sketches. The mean rates of good decision higher than 95% obtained are promising in both cases.