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Jordi Vitria, C. Gratin, D. Seron, & F. Moreso. (1995). Morphological image analysis for quantification of renal damage.
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Joan Serrat. (1995). Aplicacion del analisis de imagenes en radiologia. In VI National Simposium on Pattern Recognition and image Analysis.
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A. Martinez, & Jordi Vitria. (1995). A Development Plataform for Autonomous Agents. ASI–AA–95 – Practice and Future of Autonomous Agents., .
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A. Martinez, Jordi Vitria, & S. Sampayo. (1995). Atlas: a Hexapod driven by a Neural Network..
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Petia Radeva, & Enric Marti. (1995). Facial Features Segmentation by Model-Based Snakes..
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Antonio Lopez, & Joan Serrat. (1995). Image Analysis through Surface Geometric Descriptors. In VI National Simposium on Pattern Recognition and image Analysis..
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Jordi Vitria, & J. Llacer. (1995). Recovering brightness and depth from focus using the Expectation-Maximization Algorithm. In VI National Simposium on Pattern Recognition and image Analysis.
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D. Seron, F. Moreso, C. Gratin, & Jordi Vitria. (1995). Morphological Granulometries and Quantification of Interstitial Chronic Renal Damage. In VI National Simposium on Pattern Recognition and image Analysis..
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V. Valev, & Petia Radeva. (1995). ECG Recognition by Non-Reducible Descriptors. In Portuguese Conference on Pattern Recognition..
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C. Molina, & J.B. Subirana. (1995). Reduction of complexity for object recognition algorithms.
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C. Molina, & J.B. Subirana. (1995). Polynomial-Time Algorithm for 2D object recognition. In VI National Simposium on Pattern Recognition and image Analysis.
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J.R. Serra, S. Casadei, & J.B. Subirana. (1995). Non-Cartesian Networks for Middle Level Vision. In VI National Simposium on Pattern Recognition and image Analysis.
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Josep Llados, & Enric Marti. (1995). Interpretacio de dibuixos lineals mitjançant tècniques d isomorfisme entre grafs. In Trobada de Joves Investigadors.
Abstract: L’anàlisi de documents té com a objectiu la interpretació automàtica de documents impresos sobre paper, amb la finalitat d’obtenir una descripció simbòlica d’aquests, que permeti el seu emmagatzemament i posterior tractament computacional. Les tècniques basades en grafs relacionals d’atributs permeten representar de manera compacta la informació continguda en dibuixos lineals i mitjançant mecanismes d’isomorfisme entre grafs, reconèixer-hi certes estructures i d’aquesta manera, interpretar el document. En aquest treball es dóna una visió general de les tènciques de grafs aplicades al reconeixement visual d’objectes en problemes d’anàlisi de documents. Aquestes tècniques s’il·lustren amb un exemple de reconeixement de plànols dibuixats a mà alçada. Finalment es proposa la utilització de tècniques de Hough com a mecanisme per accelerar el procés de reconeixement aplicant un cert coneixement sobre el domini en el que es treballa
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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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Ricardo Toledo, S. Sallent, J. Paradell, & Juan J. Villanueva. (1995). CARE: Computer Assisted Radiology Environment. In Pattern Recognition and image analysis: preprints of the VI National Symposium on Pattern Recogniotion & Image Analysis.
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