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Author |
Oriol Ramos Terrades; Salvatore Tabbone; L. Wendling; Ernest Valveny |
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Title |
Symbol Recognition based on a Multiresolution Analysis of the Radon Transform |
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Miscellaneous |
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2004 |
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The International Workshop on Multidisciplinary Image, Video, and Audio Retrieval and Mining |
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Sherbrooke (Canada) |
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DAG |
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DAG @ dag @ RTW2004 |
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500 |
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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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Springer-Verlag |
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DAG @ dag @ VaD2004b |
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501 |
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Author |
Ernest Valveny; Philippe Dosch |
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Title |
Performance Evaluation of Symbol Recognition |
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Book Chapter |
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Year |
2004 |
Publication |
Document Analysis Systems |
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LNCS |
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3163 |
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354–365 |
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Springer-Verlag |
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S. Marinai, A. Dengel (Eds.), |
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3-540-23060-2 |
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DAG |
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DAG @ dag @ VaD2004a |
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502 |
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Author |
Oriol Ramos Terrades; Ernest Valveny |
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Title |
Indexing Technical Symbols Using Ridgelets Transform |
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Miscellaneous |
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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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Springer-Verlag |
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DAG @ dag @ VaD2004c |
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503 |
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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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Report |
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2004 |
Publication |
CVC Technical Report #79 |
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CVC (UAB) |
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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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Report |
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2004 |
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CVC Technical Report #81 |
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CVC (UAB) |
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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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Report |
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2004 |
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CVC Technical Report #80 |
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CVC (UAB) |
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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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Book Chapter |
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Year |
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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no |
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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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Miscellaneous |
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Year |
2004 |
Publication |
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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no |
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BCNPCL @ bcnpcl @ MaV2004c |
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510 |
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Author |
Oriol Pujol |
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Title |
A semi-Supervised Statistical Framework and Generative Snakes for IVUS Analysis |
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Book Whole |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB), Bellaterra |
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Ph.D. thesis |
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Petia Radeva |
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HuPBA;MILAB |
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BCNPCL @ bcnpcl @ Puj2004 |
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512 |
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Author |
Jaume Amores; Petia Radeva |
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Title |
Registration and retrieval of medical images. Application to IVUS |
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Report |
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2004 |
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CVC Technical Report #77 |
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CVC (UAB) |
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MILAB |
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ADAS @ adas @ AmR2004 |
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513 |
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Author |
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 |
Type |
Miscellaneous |
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Year |
2004 |
Publication |
LNCS 3080, ISBN: 3–540–22478–5 |
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Springer-Verlag |
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DAG |
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DAG @ dag @ LlK2004 |
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515 |
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Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
![download PDF file pdf](img/file_PDF.gif)
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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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IOS Press |
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CCIA |
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IAM;MILAB |
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IAM @ iam @ GRC2004 |
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1488 |
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Author |
Debora Gil |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Geometric Differential Operators for Shape Modelling |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Medical imaging feeds research in many computer vision and image processing fields: image filtering, segmentation, shape recovery, registration, retrieval and pattern matching. Because of their low contrast changes and large variety of artifacts and noise, medical imaging processing techniques relying on an analysis of the geometry of image level sets rather than on intensity values result in more robust treatment. From the starting point of treatment of intravascular images, this PhD thesis ad- dresses the design of differential image operators based on geometric principles for a robust shape modelling and restoration. Among all fields applying shape recovery, we approach filtering and segmentation of image objects. For a successful use in real images, the segmentation process should go through three stages: noise removing, shape modelling and shape recovery. This PhD addresses all three topics, but for the sake of algorithms as automated as possible, techniques for image processing will be designed to satisfy three main principles: a) convergence of the iterative schemes to non-trivial states avoiding image degeneration to a constant image and representing smooth models of the originals; b) smooth asymptotic behav- ior ensuring stabilization of the iterative process; c) fixed parameter values ensuring equal (domain free) performance of the algorithms whatever initial images/shapes. Our geometric approach to the generic equations that model the different processes approached enables defining techniques satisfying all the former requirements. First, we introduce a new curvature-based geometric flow for image filtering achieving a good compromise between noise removing and resemblance to original images. Sec- ond, we describe a new family of diffusion operators that restrict their scope to image level curves and serve to restore smooth closed models from unconnected sets of points. Finally, we design a regularization of snake (distance) maps that ensures its smooth convergence towards any closed shape. Experiments show that performance of the techniques proposed overpasses that of state-of-the-art algorithms. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Barcelona (Spain) |
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Jordi Saludes i Closa;Petia Radeva |
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84-933652-0-3 |
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prit |
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IAM; |
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IAM @ iam @ GIL2004 |
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1517 |
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