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Jose Manuel Alvarez, & Antonio Lopez. (2008). Novel Index for Objective Evaluation of Road Detection Algorithms. In Intelligent Transportation Systems. 11th International IEEE Conference on, (815–820).
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Partha Pratim Roy, Umapada Pal, Josep Llados, & F. Kimura. (2008). Convex Hull based Approach for Multi-oriented Character Recognition form Graphical Documents. In 19th International Conference on Pattern Recognition.
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Murad Al Haj, Francisco Javier Orozco, Jordi Gonzalez, & Juan J. Villanueva. (2008). Automatic Face and Facial Features Initialization for Robust and Accurate Tracking. In 19th International Conference on Pattern Recognition. (1– 4).
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Ariel Amato, Mikhail Mozerov, Ivan Huerta, Jordi Gonzalez, & Juan J. Villanueva. (2008). ackground Subtraction Technique Based on Chromaticity and Intensity Patterns. In 19th International Conference on Pattern Recognition, (1–4).
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Jose Antonio Rodriguez, & Florent Perronnin. (2008). Score Normalization for Hmm-based Word Spotting Using Universal Background Model. In International Conference on Frontiers in Handwriting Recognition (82–87).
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Jose Antonio Rodriguez, & Florent Perronnin. (2008). Local Gradient Histogram Features for Word Spotting in Unconstrained Handwritten Documents. In International Conference on Frontiers in Handwriting Recognition (7–12).
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Dimosthenis Karatzas, Marçal Rusiñol, Coen Antens, & Miquel Ferrer. (2008). Segmentation Robust to the Vignette Effect for Machine Vision Systems. In 19th International Conference on Pattern Recognition.
Abstract: The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In this paper we present a fast and efficient method for dealing with vignetting in the context of object segmentation in an existing industrial inspection setup. The vignette effect is modelled here as a circular, non-linear gradient. The method estimates the gradient parameters and employs them to perform segmentation. Segmentation results on a variety of images indicate that the presented method is able to successfully tackle the vignette effect.
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Miquel Ferrer, Ernest Valveny, F. Serratosa, K. Riesen, & Horst Bunke. (2008). An Approximate Algorith for Median Graph Computation using Graph Embedding. In 19th International Conference on Pattern Recognition..
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Ernest Valveny, & Miquel Ferrer. (2008). Application of Graph Embedding to Solve Graph Matchin Problems. In Colloque International Francophone sur l’Ecrit et le Document (13–18).
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Dimosthenis Karatzas. (2008). Detecting Gradients in Text Images Using the Hough Transform. In Proceedings of the 8th International Workshop on Document Analysis Systems, (245–252).
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Joan Mas, Jose Antonio Rodriguez, Dimosthenis Karatzas, Gemma Sanchez, & Josep Llados. (2008). HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents. In Proceedings of the 8th International Workshop on Document Analysis Systems, (517–524).
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Mathieu Nicolas Delalandre, Ernest Valveny, & Josep Llados. (2008). Performance Evaluation of Symbol Recognition and Spotting Systems. In Proceedings of the 8th International Workshop on Document Analysis Systems, (497–505).
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Marçal Rusiñol, & Josep Llados. (2008). Word and Symbol Spotting using Spatial Organization of Local Descriptors. In Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, (489–496).
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Jaume Garcia, Debora Gil, Sandra Pujades, & Francesc Carreras. (2008). A Variational Framework for Assessment of the Left Ventricle Motion. International Journal Mathematical Modelling of Natural Phenomena, 3(6), 76–100.
Abstract: Impairment of left ventricular contractility due to cardiovascular diseases is reflected in left ventricle (LV) motion patterns. An abnormal change of torsion or long axis shortening LV values can help with the diagnosis and follow-up of LV dysfunction. Tagged Magnetic Resonance (TMR) is a widely spread medical imaging modality that allows estimation of the myocardial tissue local deformation. In this work, we introduce a novel variational framework for extracting the left ventricle dynamics from TMR sequences. A bi-dimensional representation space of TMR images given by Gabor filter banks is defined. Tracking of the phases of the Gabor response is combined using a variational framework which regularizes the deformation field just at areas where the Gabor amplitude drops, while restoring the underlying motion otherwise. The clinical applicability of the proposed method is illustrated by extracting normality models of the ventricular torsion from 19 healthy subjects.
Keywords: Key words: Left Ventricle Dynamics, Ventricular Torsion, Tagged Magnetic Resonance, Motion Tracking, Variational Framework, Gabor Transform.
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Fadi Dornaika, & Angel Sappa. (2008). Real Time Image Registration for Planar Structure and 3D Sensor Pose Estimation. In Asim Bhatti (Ed.), Stereo Vision (Vol. 18, 299–316).
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