Author:
Baczyńska Paulina,Kaliszewska Agnieszka,Syga Monika
Abstract
AbstractWe analyze two approaches to clustering 2D shapes representing cross-sections of rotationally symmetrical objects. These approaches are based on two ways of shape representation - contours and silhouettes - and a number of similarity measures which are based on a combination of Procrustes analysis (PA) and Dynamic Time Warping (DTW) as well as on binary matrix analysis. The comparison of efficiency of the proposed approaches is performed on datasets of archaeological ceramic vessels.
Publisher
Springer International Publishing
Reference22 articles.
1. Lecture Notes in Computer Science;B Aronov,2006
2. Balestre, M., Von Pinho, R., Souza, J., Lima, J.: Comparison of maize similarity and dissimilarity genetic coefficients based on microsatellite markers. Genet. Mol. Res. 7(3), 695–705 (2008)
3. Choi, S.S.S.: Correlation analysis of binary similarity and dissimilarity measures (2008)
4. Efrat, A., Fan, Q., Venkatasubramanian, S.: Curve matching, time warping, and light fields: new algorithms for computing similarity between curves. J. Math. Imaging Vision 27(3), 203–216 (2007)
5. Eguizabal, A., Schreier, P.J., Schmidt, J.: Procrustes registration of two-dimensional statistical shape models without correspondences. CoRR abs/1911.11431 (2019)