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Maria Vanrell, Jordi Vitria, & Xavier Roca. (1997). A multidimensional scaling approach to explore the behavior of a texture perception algorithm. Machine Vision and Applications, 9, 262–271.
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Xavier Roca, Jordi Vitria, Maria Vanrell, & Juan J. Villanueva. (1999). Gaze control in a binocular robot systems.
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Maria Vanrell, Jordi Vitria, & Xavier Roca. (1993). A General Morphological Framework for Perceptual Texture Discrimination based on Granulometries..
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Xavier Roca, Jordi Vitria, Maria Vanrell, & Juan J. Villanueva. (2000). Visual behaviours for binocular navigation with autonomous systems..
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Xavier Roca, X. Binefa, & Jordi Vitria. (1998). A New Autofocus Algorithm for Cytological Tissue in a Microscopy Environment..
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Xavier Roca, X. Binefa, & Jordi Vitria. (1997). A New Accomodation Algorithm for a Microscopy Environment..
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X. Binefa, Xavier Roca, & Jordi Vitria. (1997). A Contrast Approach to Depth from Focus..
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X. Binefa, Jordi Vitria, & Xavier Roca. (1993). Deteccion de profundidad en imagenes monoculares mediante vision activa..
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Xavier Roca, & Jordi Vitria. (1993). Multiscale Structure Extraction using Morphological Tools. Applications to Edge Detection..
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Xavier Roca, X. Binefa, & Jordi Vitria. (1993). Multiscale Structure Extraction using Morphological Tools. Applications to Edge Detection and to Depth Perception..
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X. Binefa, Jordi Vitria, & Xavier Roca. (1992). Deteccion de profundidad en imagenes monoculares mediante vision activa..
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Q. Xue, Laura Igual, A. Berenguel, M. Guerrieri, & L. Garrido. (2014). Active Contour Segmentation with Affine Coordinate-Based Parametrization. In 9th International Conference on Computer Vision Theory and Applications (Vol. 1, pp. 5–14).
Abstract: In this paper, we present a new framework for image segmentation based on parametrized active contours. The contour and the points of the image space are parametrized using a set of reduced control points that have to form a closed polygon in two dimensional problems and a closed surface in three dimensional problems. By moving the control points, the active contour evolves. We use mean value coordinates as the parametrization tool for the interface, which allows to parametrize any point of the space, inside or outside the closed polygon
or surface. Region-based energies such as the one proposed by Chan and Vese can be easily implemented in both two and three dimensional segmentation problems. We show the usefulness of our approach with several experiments.
Keywords: Active Contours; Affine Coordinates; Mean Value Coordinates
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Alejandro Tabas, Emili Balaguer-Ballester, & Laura Igual. (2014). Spatial Discriminant ICA for RS-fMRI characterisation. In 4th International Workshop on Pattern Recognition in Neuroimaging (pp. 1–4).
Abstract: Resting-State fMRI (RS-fMRI) is a brain imaging technique useful for exploring functional connectivity. A major point of interest in RS-fMRI analysis is to isolate connectivity patterns characterising disorders such as for instance ADHD. Such characterisation is usually performed in two steps: first, all connectivity patterns in the data are extracted by means of Independent Component Analysis (ICA); second, standard statistical tests are performed over the extracted patterns to find differences between control and clinical groups. In this work we introduce a novel, single-step, approach for this problem termed Spatial Discriminant ICA. The algorithm can efficiently isolate networks of functional connectivity characterising a clinical group by combining ICA and a new variant of the Fisher’s Linear Discriminant also introduced in this work. As the characterisation is carried out in a single step, it potentially provides for a richer characterisation of inter-class differences. The algorithm is tested using synthetic and real fMRI data, showing promising results in both experiments.
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X. Orriols, Ricardo Toledo, X. Binefa, Petia Radeva, Jordi Vitria, & Juan J. Villanueva. (2000). Probabilistic Saliency Approach for Elongated Structure Detection using Deformable Models. In 15 th International Conference on Pattern Recognition (Vol. 3, pp. 1006–1009).
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Ricardo Toledo, X. Orriols, Petia Radeva, X. Binefa, Jordi Vitria, Cristina Cañero, et al. (2000). Eigensnakes for vessel segmentation in angiography. In 15 th International Conference on Pattern Recognition (Vol. 4, pp. 340–343).
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