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Open Access item A syntactical approach to learn and identify bidimensional image models

Authors:Saínz, Miguel
Sanfeliu Cortés, Alberto
Keywords:Automatic learning, Generic multi-purpose model, Grammatica inference, Augmented regular expressions, Context sensitive grammars, Pattern recognition: Computer vision, Computer vision
Issue Date:1997
Publisher:Asociación Española de Reconocimientos de Formas y Análisis de Imágenes
Citation:7th Spanish Symposium on Pattern Recognition and Image Analysis: 1-3 (1997)
Abstract:In one hand, automatic generation of models from a set of positive and negative samples and a-priori knowledge (if available) is a crucial issue for pattern recongnition applications. In the other hand, a generic multipurpose 2D object model representation is very useful in object recognition in complex scenes. In this paper we present a new approach of 2D objects multi-purpose model model representation based in context sensitive language and automatic learning. To illustrate the model representation of the performances achieved two different applications have been developed: an outdoor traffic sign identifier and a human face identifier. Partial results of the recognition process of both applications are shown.
Description:Spanish Symposium on Pattern Recognition and Image Analysis (SNRFAI), 1997, Barcelona (España)
URI:http://hdl.handle.net/10261/30183
Appears in Collections:(IRII) Comunicaciones congresos

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