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Author Enric Marti; Jordi Regincos;Jaime Lopez-Krahe; Juan J.Villanueva edit  openurl
  Title Interpretación de dibujos lineales a mano alzada como objetos 3D Type Conference Article
  Year 1992 Publication V Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes Abbreviated Journal  
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  Corporate Author Thesis  
  Publisher Place of Publication València Editor  
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  Area Expedition Conference  
  Notes IAM;ISE Approved no  
  Call Number IAM @ iam @ MRL1992 Serial 1601  
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Author Enric Marti; Jordi Regincos; Jaime Lopez-Krahe edit  openurl
  Title Interpretación de Dibujos Lineales a Mano Alzada Representando Escenas Tridimensionales Type Conference Article
  Year 1991 Publication Primer Congreso Español de Informática. Abbreviated Journal  
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  Notes IAM Approved no  
  Call Number IAM @ iam @ MRL1991 Serial 1610  
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Author Josefina Mauri; Eduard Fernandez-Nofrerias; B. Garcia del Blanco; E. Iraculis; J.A. Gomez-Hospital; J. Comin; M.A. Sanchez Corral; F. Jara; A. Cequier; E. Esplugas; Debora Gil; J. Saludes; Petia Radeva; Ricardo Toledo; Juan J.Villanueva edit  openurl
  Title Moviment del vas en l anàlisi d imatges d ecografia intracoronària: un model matemàtic Type Conference Article
  Year 2000 Publication Congrés de la Societat Catalana de Cardiologia. Abbreviated Journal  
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  Notes IAM;RV;ISE;MILAB;ADAS Approved no  
  Call Number IAM @ iam @ MNG2000 Serial 1621  
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Author Josefina Mauri; Eduard Fernandez-Nofrerias; J. Comin; B. Garcia del Blanco; E. Iraculis; J.A. Gomez-Hospital; P. Valdovinos; F. Jara; A. Cequier; E. Esplugas; Oriol Pujol; Cristina Cañero; Debora Gil; Petia Radeva; Ricardo Toledo edit  openurl
  Title Avaluació del Conjunt Stent/Artèria mitjançant ecografia intracoronària: lentorn informàtic Type Conference Article
  Year 2000 Publication Congrés de la Societat Catalana de Cardiologia. Abbreviated Journal  
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  Notes IAM;RV;MILAB;ADAS;HuPBA Approved no  
  Call Number IAM @ iam @ MNC2000 Serial 1622  
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Author Petia Radeva; Enric Marti edit  url
openurl 
  Title Facial Features Segmentation by Model-Based Snakes Type Conference Article
  Year 1995 Publication International Conference on Computing Analysis and Image Processing Abbreviated Journal  
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  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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  Publisher Place of Publication Bellaterra (Barcelona), Spain Editor  
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  Notes MILAB;IAM Approved no  
  Call Number IAM @ iam @ RAM1995a Serial 1633  
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Author Oriol Rodriguez-Leon; Josefina Mauri; Eduard Fernandez-Nofrerias; M.Gomez; Antonio Tovar; L.Cano; C.Diego; Carme Julia; Vicente del Valle; Debora Gil; Petia Radeva edit  openurl
  Title Ecografia Intracoronària: Segmentació Automàtica de area de la llum Type Conference Article
  Year 2002 Publication XXXVIII Congreso Nacional de la Sociedad Española de Cardiología. Abbreviated Journal  
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  Notes IAM;ADAS;MILAB Approved no  
  Call Number IAM @ iam @ RMF2002 Serial 1638  
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Author F. Javier Sanchez; Jordi Vitria; Enric Marti edit  openurl
  Title Transformaciones Morfológicas de Polígonos Isotéticos Type Conference Article
  Year 1991 Publication Primer Congreso Español de Informática Gráfica. Abbreviated Journal  
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  Notes OR;IAM;MV Approved no  
  Call Number IAM @ iam @ SVM1991 Serial 1648  
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Author Gemma Sanchez; Josep Llados; Enric Marti edit  url
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  Title Segmentation and analysis of linial texture in plans Type Conference Article
  Year 1997 Publication Intelligence Artificielle et Complexité. Abbreviated Journal  
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  Keywords Structural Texture, Voronoi, Hierarchical Clustering, String Matching.  
  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.  
  Address Paris, France  
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  Publisher Place of Publication Paris Editor  
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  Area Expedition Conference AERFAI  
  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ SLM1997 Serial 1649  
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Author Joan Serrat; Enric Marti edit  openurl
  Title Elastic matching using interpolation splines Type Conference Article
  Year 1991 Publication IV Spanish Symposium of Pattern Recognition and image Analysis Abbreviated Journal  
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  Notes ADAS;IAM; Approved no  
  Call Number IAM @ iam @ SMV1991 Serial 1651  
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Author Ernest Valveny; Enric Marti edit   pdf
url  doi
openurl 
  Title Application of deformable template matching to symbol recognition in hand-written architectural draw Type Conference Article
  Year 1999 Publication Proceedings of the Fifth International Conference on Abbreviated Journal  
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  Abstract We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified.  
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  Publisher Place of Publication Bangalore (India) Editor  
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  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ VAM1999a Serial 1657  
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