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A non-rigid appearance model for shape description and recognition
Jon Almazan, Alicia Fornes and Ernest Valveny. 2012. A non-rigid appearance model for shape description and recognition. PR, 45(9), 3105–3113.
In this paper we describe a framework to learn a model of shape variability in a set of patterns. The framework is based on the Active Appearance Model (AAM) and permits to combine shape deformations with appearance variability. We have used two modifications of the Blurred Shape Model (BSM) descriptor as basic shape and appearance features to learn the model. These modifications permit to overcome the rigidity of the original BSM, adapting it to the deformations of the shape to be represented. We have applied this framework to representation and classification of handwritten digits and symbols. We show that results of the proposed methodology outperform the original BSM approach.
A non-rigid appearance model for shape description and recognitionJon AlmazanAlicia FornesErnest Valvenyinfo:doi/10.1016/j.patcog.2012.01.010openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=article&atitle=A%20non-rigid%20appearance%20model%20for%20shape%20description%20and%20recognition&title=Pattern%20Recognition&stitle=PR&issn=0031-3203&date=2012&volume=45&issue=9&spage=3105--3113&aulast=Jon%20Almazan&au=Alicia%20Fornes&au=Ernest%20Valveny&id=info%3Adoi%2F10.1016%2Fj.patcog.2012.01.010&sid=refbase%3ACVCJon Almazan, Alicia Fornes and Ernest Valveny. 2012. A non-rigid appearance model for shape description and recognition. PR, 45(9), 3105-3113.2012JournalArticletextShape recognitionDeformable modelsShape modelingHand-drawn recognitionurl:http://www.sciencedirect.com/science/article/pii/S0031320312000313file:http://refbase.cvc.uab.es/files/AFV2012a.pdf0031-3203Pattern Recognition201245931053113