@InProceedings{JonAlmazan2011,
author="Jon Almazan
and Ernest Valveny
and Alicia Fornes",
editor="Jordi Vitria
and Joao Miguel Raposo
and Mario Hernandez",
title="Deforming the Blurred Shape Model for Shape Description and Recognition",
booktitle="5th Iberian Conference on Pattern Recognition and Image Analysis",
year="2011",
publisher="Springer-Verlag",
address="Berlin",
volume="6669",
pages="1--8",
abstract="This paper presents a new model for the description and recognition of distorted shapes, where the image is represented by a pixel density distribution based on the Blurred Shape Model combined with a non-linear image deformation model. This leads to an adaptive structure able to capture elastic deformations in shapes. This method has been evaluated using thee different datasets where deformations are present, showing the robustness and good performance of the new model. Moreover, we show that incorporating deformation and flexibility, the new model outperforms the BSM approach when classifying shapes with high variability of appearance.",
optnote="DAG;",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1732), last updated on Thu, 17 May 2012 09:59:39 +0200",
doi="http://dx.doi.org/10.1007/978-3-642-21257-4"
}