TY - CONF AU - Jon Almazan AU - Ernest Valveny AU - Alicia Fornes A2 - IbPRIA ED - Jordi Vitria ED - Joao Miguel Raposo ED - Mario Hernandez PY - 2011// TI - Deforming the Blurred Shape Model for Shape Description and Recognition T2 - LNCS BT - 5th Iberian Conference on Pattern Recognition and Image Analysis SP - 1 EP - 8 VL - 6669 PB - Springer-Verlag CY - Berlin N2 - 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. UR - http://dx.doi.org/10.1007/978-3-642-21257-4 N1 - DAG; ID - Jon Almazan2011 ER -