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Author |
Ernest Valveny; Philippe Dosch |
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Title |
Symbol Recognition Contest: A Synthesis |
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Miscellaneous |
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Year |
2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:368–386, ISBN: 3–540–22478–5 |
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DAG @ dag @ VaD2004b |
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501 |
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Ernest Valveny; Philippe Dosch |
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Title |
Performance Evaluation of Symbol Recognition |
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2004 |
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Document Analysis Systems |
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LNCS |
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3163 |
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354–365 |
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S. Marinai, A. Dengel (Eds.), |
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3-540-23060-2 |
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DAG @ dag @ VaD2004a |
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502 |
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Oriol Ramos Terrades; Ernest Valveny |
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Title |
Indexing Technical Symbols Using Ridgelets Transform |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:177–187, ISBN: 3–540–22478–5 |
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DAG @ dag @ VaD2004c |
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503 |
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Oriol Pujol; Petia Radeva |
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Title |
Texture Segmentation by Statistical Deformable Models |
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2004 |
Publication |
International Journal of Image and Graphics |
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IJIG |
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4 |
Issue |
3 |
Pages |
433-452 |
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Texture segmentation, parametric active contours, statistic snakes |
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Deformable models have received much popularity due to their ability to include high-level knowledge on the application domain into low-level image processing. Still, most proposed active contour models do not sufficiently profit from the application information and they are too generalized, leading to non-optimal final results of segmentation, tracking or 3D reconstruction processes. In this paper we propose a new deformable model defined in a statistical framework to segment objects of natural scenes. We perform a supervised learning of local appearance of the textured objects and construct a feature space using a set of co-occurrence matrix measures. Linear Discriminant Analysis allows us to obtain an optimal reduced feature space where a mixture model is applied to construct a likelihood map. Instead of using a heuristic potential field, our active model is deformed on a regularized version of the likelihood map in order to segment objects characterized by the same texture pattern. Different tests on synthetic images, natural scene and medical images show the advantages of our statistic deformable model. |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ PuR2004a |
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505 |
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Author |
Carme Julia |
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Title |
Motion segmentation through factorization. Application to night driving assistance |
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2004 |
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CVC Technical Report #79 |
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no |
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Admin @ si @ 38169 |
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506 |
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Author |
Raul Chaves |
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Title |
Sistema de identificacion mediante huellas dactilares |
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2004 |
Publication |
CVC Technical Report #81 |
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Admin @ si @ Cha2004 |
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507 |
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Author |
Oriol Martinez |
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Title |
Semantic Retrieval of Memory Color Content |
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2004 |
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CVC Technical Report #80 |
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Admin @ si @ 38047 |
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508 |
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Author |
Jordi Vitria; Petia Radeva; I. Aguilo |
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Title |
Recent Advances in Artificial Intelligence Research and Development |
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2004 |
Publication |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
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Amsterdam |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ VRA2004 |
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509 |
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Author |
David Masip; Jordi Vitria |
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Title |
Boosted Linear Projections for Discriminant Analysis |
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2004 |
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CCIA 2004, 45–52, ISBN: 1–58603–466–9 |
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IOS Press |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV2004c |
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510 |
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Jaume Amores; Petia Radeva |
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Title |
Registration and retrieval of medical images. Application to IVUS |
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2004 |
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CVC Technical Report #77 |
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ADAS @ adas @ AmR2004 |
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513 |
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Petia Radeva; Jordi Vitria |
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Title |
Corkinspect: Statistical Learning of Natural Material |
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2004 |
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Italian Beverage Technology, 13(38):11–18 |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ RaV2004b |
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514 |
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Author |
Josep Llados; Young-Bin Kwon |
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Title |
Graphics Recognition. Recent Advances and Perspectives |
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2004 |
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LNCS 3080, ISBN: 3–540–22478–5 |
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DAG @ dag @ LlK2004 |
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515 |
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Author |
Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Antonio Tovar; Vicente del Valle; Aura Hernandez-Sabate; Debora Gil; Petia Radeva |
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Utilizacion de la estructura de los campos vectoriales para la deteccion de la Adventicia en imagenes de Ecografia Intracoronaria |
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2004 |
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Revista Española de Cardiología |
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REC |
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57 |
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2 |
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100 |
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MILAB;IAM |
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no |
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BCNPCL @ bcnpcl @ RMF2004 |
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566 |
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Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
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Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
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2004 |
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Recent Advances in Artificial Intelligence Research and Development |
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37-44 |
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MR; tagged MR; ASM; LV segmentation; motion estimation. |
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Tagged magnetic resonance is a very usefull and unique tool that provides a complete local and global knowledge of the left ventricle (LV) motion. In this article we introduce a method capable of tracking and segmenting the LV. Spectral methods are applied in order to obtain the so called HARP images which encode information about movement and are the base for LV point-tracking. For segmentation we use Active Shapes (ASM) that model LV shape variation in order to overcome possible local misplacements of the boundary. We finally show experiments on both synthetic and real data which appear to be very promising. |
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CCIA |
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IAM;MILAB |
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no |
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IAM @ iam @ GRC2004 |
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1488 |
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Author |
Debora Gil; Petia Radeva |
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Title |
Shape Restoration via a Regularized Curvature Flow |
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2004 |
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Journal of Mathematical Imaging and Vision |
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21 |
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3 |
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205-223 |
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Any image filtering operator designed for automatic shape restoration should satisfy robustness (whatever the nature and degree of noise is) as well as non-trivial smooth asymptotic behavior. Moreover, a stopping criterion should be determined by characteristics of the evolved image rather than dependent on the number of iterations. Among the several PDE based techniques, curvature flows appear to be highly reliable for strongly noisy images compared to image diffusion processes.
In the present paper, we introduce a regularized curvature flow (RCF) that admits non-trivial steady states. It is based on a measure of the local curve smoothness that takes into account regularity of the curve curvature and serves as stopping term in the mean curvature flow. We prove that this measure decreases over the orbits of RCF, which endows the method with a natural stop criterion in terms of the magnitude of this measure. Further, in its discrete version it produces steady states consisting of piece-wise regular curves. Numerical experiments made on synthetic shapes corrupted with different kinds of noise show the abilities and limitations of each of the current geometric flows and the benefits of RCF. Finally, we present results on real images that illustrate the usefulness of the present approach in practical applications. |
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IAM @ iam @ GiR2004c |
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1532 |
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