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

Ney Renau-Ferrer (1) , Céline Rémi (1)

1 LAMIA - Laboratoire de Mathématiques Informatique et Applications

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.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Ney Renau-Ferrer, Céline Rémi. A Method for Visuo-Spatial Classification of Freehand Shapes Freely Sketched. IPCV'10 - 14th International Conference on Image Processing, Computer Vision, & Pattern Recognition, Jul 2010, United States. pp.216. ⟨hal-00514929⟩