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Enric Marti, Jaume Rocarias, Petia Radeva, Ricardo Toledo, & Jordi Vitria. (2008). Caronte: diseño, implementación y mejora de actividades de evaluación y primeras experiencias en asignaturas. Lleida.
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Enric Marti, Jaume Rocarias, Petia Radeva, Ricardo Toledo, & Jordi Vitria. (2007). Caronte: implementació i millora d activitats d avaluació i primeres experiències amb diferents organitzacions docents. Bellaterra (Spain).
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Enric Marti, Jordi Rocarias, & Ricardo Toledo. (2008). Caront: gestió flexible de grups d’alumnes en una asignatura i activitats sobre grups. Nova activitat de control.
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Enric Marti, Jaume Rocarias, & Ricardo Toledo. (2008). Caronte: gestión flexible de grupos de alumnos en asignaturas de universidad y actividades sobre estos grupos. Barcelona.
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Enric Marti, Jordi Vitria, & Alberto Sanfeliu. (1998). Reconocimiento de Formas y Análisis de Imágenes. AERFAI.
Abstract: Los sistemas actuales de reconocimiento automático del lenguaje oral se basan en dos etapas básicas de procesado: la parametrización, que extrae la evolución temporal de los parámetros que caracterizan la voz, y el reconocimiento propiamente dicho, que identifica la cadena de palabras de la elocución recibida con ayuda de los modelos que representan el conocimiento adquirido en la etapa de aprendizaje. Tomando como línea divisoria la palabra, dichos modelos son de tipo acústicofonético o gramatical. Los primeros caracterizan las palabras incluidas en el vocabulario de la aplicación o tarea a la que está orientado el sistema de reconocimiento, usando a menudo para ello modelos de unidades de habla de extensión inferior a la palabra, es decir, de unidades subléxicas. Por otro lado, la gramática incluye el conocimiento acerca de las combinaciones permitidas de palabras para formar las frases o su probabilidad. Queda fuera del esquema la denominada comprensión del habla, que utiliza adicionalmente el conocimiento semántico y pragmático para captar el significado de la elocución de entrada al sistema a partir de la cadena (o cadenas alternativas) de palabras que suministra el reconocedor.
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Josefina Mauri, Eduard Fernandez-Nofrerias, B. Garcia del Blanco, E. Iraculis, J.A. Gomez-Hospital, J. Comin, et al. (2000). Moviment del vas en l anàlisi d imatges d ecografia intracoronària: un model matemàtic. In Congrés de la Societat Catalana de Cardiologia..
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Josefina Mauri, Eduard Fernandez-Nofrerias, J. Comin, B. Garcia del Blanco, E. Iraculis, J.A. Gomez-Hospital, et al. (2000). Avaluació del Conjunt Stent/Artèria mitjançant ecografia intracoronària: lentorn informàtic. In Congrés de la Societat Catalana de Cardiologia..
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Ferran Poveda. (2009). Visualització i interpretació tridimensional de l’arquitectura de les fibres musculars del miocardi. Master's thesis, , 08193 Bellaterra, Barcelona (Spain).
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Petia Radeva, Amir Amini, Jintao Huang, & Enric Marti. (1996). Deformable B-Solids: application for localization and tracking of MRI-SPAMM data. CVC (UAB).
Abstract: To date, MRI-SPAMM data from different image slices have been analyzed independently. In this paper, we propose an approach for 3D tag localization and tracking of SPAMM data by a novel deformable B-solid. The solid is defined in terms of a 3D tensor product B-spline. The isoparametric curves of the B-spline solid have special importance. These are termed implicit snakes as they deform under image forces from tag lines in different image slices. The localization and tracking of tag lines is performed under constraints of continuity and smoothness of the B-solid. The framework unifies the problems of localization, and displacement fitting and interpolation into the same procedure utilizing B-spline bases for interpolation. To track motion from boundaries and restrict image forces to the myocardium, a volumetric model is employed as a pair of coupled endocardial and epicardial B-spline surfaces. To recover deformations in the LV an energy-minimization problem is posed where both tag and ...
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Petia Radeva, & Enric Marti. (1995). Facial Features Segmentation by Model-Based Snakes. In International Conference on Computing Analysis and Image Processing. Bellaterra (Barcelona), Spain.
Abstract: Deformable models have recently been accepted as a standard technique to segment different features in facial images. Despite they give a good approximation of the salient features in a facial image, the resulting shapes of the segmentation process seem somewhat artificial with respect to the natural feature shapes. In this paper we show that active contour models (in particular, rubber snakes) give more close and natural representation of the detected feature shape. Besides, using snakes for facial segmentation frees us from the problem of determination of the numerous weigths of deformable models. Another advantage of rubber snakes is their reduced computational cost. Our experiments using rubber snakes for segmentation of facial snapshots have shown a significant improvement compared to deformable models.
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Oriol Rodriguez-Leor, Josefina Mauri, Eduard Fernandez-Nofrerias, M. Gomez, Antonio Tovar, L. Cano, et al. (2002). Ecografia Intracoronària: Segmentació Automàtica de area de la llum. In XXXVIII Congreso Nacional de la Sociedad Española de Cardiología..
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Oriol Rodriguez-Leor, Josefina Mauri, Eduard Fernandez-Nofrerias, C. Garcia, R. Villuendas, Vicente del Valle, et al. (2003). Reconstruction of a spatio-temporal model of the intima layer from intravascular ultrasound sequences. European Heart Journal, .
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F. Javier Sanchez, Jordi Vitria, & Enric Marti. (1991). Transformaciones Morfológicas de Polígonos Isotéticos. In Primer Congreso Español de Informática Gráfica..
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Gemma Sanchez, Josep Llados, & Enric Marti. (1997). Segmentation and analysis of linial texture in plans. In Intelligence Artificielle et Complexité.. Paris.
Abstract: The problem of texture segmentation and interpretation is one of the main concerns in the field of document analysis. Graphical documents often contain areas characterized by a structural texture whose recognition allows both the document understanding, and its storage in a more compact way. In this work, we focus on structural linial textures of regular repetition contained in plan documents. Starting from an atributed graph which represents the vectorized input image, we develop a method to segment textured areas and recognize their placement rules. We wish to emphasize that the searched textures do not follow a predefined pattern. Minimal closed loops of the input graph are computed, and then hierarchically clustered. In this hierarchical clustering, a distance function between two closed loops is defined in terms of their areas difference and boundary resemblance computed by a string matching procedure. Finally it is noted that, when the texture consists of isolated primitive elements, the same method can be used after computing a Voronoi Tesselation of the input graph.
Keywords: Structural Texture, Voronoi, Hierarchical Clustering, String Matching.
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Joan Serrat, & Enric Marti. (1991). Elastic matching using interpolation splines. In IV Spanish Symposium of Pattern Recognition and image Analysis.
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