| Records |
| Author |
David Rotger; Misael Rosales; Jaume Garcia; Oriol Pujol ; Josefina Mauri; Petia Radeva |
| Title |
Active Vessel: A New Multimedia Workstation for Intravascular Ultrasound and Angiography Fusion |
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Journal Article |
| Year |
2003 |
Publication |
Computers in Cardiology |
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| Volume |
30 |
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Pages |
65-68 |
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| Abstract |
AcriveVessel is a new multimedia workstation which enables the visualization, acquisition and handling of both image modalities, on- and ofline. It enables DICOM v3.0 decompression and browsing, video acquisition,repmduction and storage for IntraVascular UltraSound (IVUS) and angiograms with their corresponding ECG,automatic catheter segmentation in angiography images (using fast marching algorithm). BSpline models definition for vessel layers on IVUS images sequence and an extensively validated tool to fuse information. This approach defines the correspondence of every IVUS image with its correspondent point in the angiogram and viceversa. The 3 0 reconstruction of the NUS catheterhessel enables real distance measurements as well as threedimensional visualization showing vessel tortuosity in the space. |
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IAM;MILAB;HuPBA |
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IAM @ iam @ RRG2003 |
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1647 |
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| Author |
F. Javier Sanchez; Jordi Vitria; Enric Marti |
| Title |
Transformaciones Morfológicas de Polígonos Isotéticos |
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1991 |
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Primer Congreso Español de Informática Gráfica. |
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OR;IAM;MV |
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IAM @ iam @ SVM1991 |
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1648 |
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Gemma Sanchez; Ernest Valveny; Josep Llados; Enric Marti; Oriol Ramos Terrades; N.Lozano; Joan Mas |
| Title |
A system for virtual prototyping of architectural projects |
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Conference Article |
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2003 |
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Proceedings of Fifth IAPR International Workshop on Pattern Recognition |
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65-74 |
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DAG;IAM |
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IAM @ iam @ SVL2003 |
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1650 |
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| Author |
Joan Serrat; Enric Marti |
| Title |
Elastic matching using interpolation splines |
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Conference Article |
| Year |
1991 |
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IV Spanish Symposium of Pattern Recognition and image Analysis |
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ADAS;IAM; |
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IAM @ iam @ SMV1991 |
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1651 |
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Elena Valderrama; Joan Oliver; Josep Maria-Basart; Enric Marti; Petia Radeva; Ricardo Toledo; R.Vilanova;F.Ced; J.Muñoz; S.Vacchina |
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Convergencia al EEES de la ingeniería informática. Título de Grado en tecnología (Informática) |
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Miscellaneous |
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2005 |
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I Jornades de Innovació Docent |
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Elena Valderrama |
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IAM;RV;MILAB;ADAS |
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IAM @ iam @ VOB2005 |
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1652 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
A model for image generation and symbol recognition through the deformation of lineal shapes |
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Journal Article |
| Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
15 |
Pages |
2857-2867 |
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| Abstract |
We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents. |
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Elsevier Science Inc. |
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New York, NY, USA |
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0167-8655 |
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DAG; IAM |
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IAM @ iam @ VAM2003 |
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1653 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Learning of structural descriptions of graphic symbols using deformable template matching |
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Conference Article |
| Year |
2001 |
Publication |
Proc. Sixth Int Document Analysis and Recognition Conf |
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455-459 |
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Accurate symbol recognition in graphic documents needs an accurate representation of the symbols to be recognized. If structural approaches are used for recognition, symbols have to be described in terms of their shape, using structural relationships among extracted features. Unlike statistical pattern recognition, in structural methods, symbols are usually manually defined from expertise knowledge, and not automatically infered from sample images. In this work we explain one approach to learn from examples a representative structural description of a symbol, thus providing better information about shape variability. The description of a symbol is based on a probabilistic model. It consists of a set of lines described by the mean and the variance of line parameters, respectively providing information about the model of the symbol, and its shape variability. The representation of each image in the sample set as a set of lines is achieved using deformable template matching. |
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DAG;IAM; |
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IAM @ iam @ VMA2001 |
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1654 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition |
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Journal Article |
| Year |
2000 |
Publication |
Graphics Recognition Recent Advances |
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1941 |
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193-208 |
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We describe a method for hand-drawn symbol recognition based on deformable template matching able to handle uncertainty and imprecision inherent to hand-drawing. Symbols are represented as a set of straight lines and their deformations as geometric transformations of these lines. Matching, however, is done over the original binary image to avoid loss of information during line detection. It is defined as an energy minimization problem, using a Bayesian framework which allows to combine fidelity to ideal shape of the symbol and flexibility to modify the symbol in order to get the best fit to the binary input image. Prior to matching, we find the best global transformation of the symbol to start the recognition process, based on the distance between symbol lines and image lines. We have applied this method to the recognition of dimensions and symbols in architectural floor plans and we show its flexibility to recognize distorted symbols. |
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Springer Verlag |
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Springer Verlag |
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DAG;IAM; |
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IAM @ iam @ MVA2000 |
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1655 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework |
Type |
Conference Article |
| Year |
2000 |
Publication |
Proc. 15th Int Pattern Recognition Conf |
Abbreviated Journal |
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| Volume |
2 |
Issue |
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Pages |
239-242 |
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| Abstract |
Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm. |
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0-7695-0750-6 |
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DAG;IAM; |
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IAM @ iam @ VAM2000 |
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1656 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Application of deformable template matching to symbol recognition in hand-written architectural draw |
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Conference Article |
| Year |
1999 |
Publication |
Proceedings of the Fifth International Conference on |
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We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified. |
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Bangalore (India) |
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DAG;IAM; |
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IAM @ iam @ VAM1999a |
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1657 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Recognition of lineal symbols in hand-written drawings using deformable template matching |
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Conference Article |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes |
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DAG;IAM; |
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IAM @ iam @ VAM1999 |
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1658 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
Dimensions analysis in hand-drawn architectural drawings |
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Conference Article |
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1997 |
Publication |
VII National Simposium of Pattern Recognition and image Analysis, SNRFAI´97 |
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90-91 |
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CVC-UAB |
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DAG;IAM; |
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IAM @ iam @ VAM1997 |
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1659 |
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| Author |
Ernest Valveny; Ricardo Toledo; Ramon Baldrich; Enric Marti |
| Title |
Combining recognition-based in segmentation-based approaches for graphic symol recognition using deformable template matching |
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Conference Article |
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2002 |
Publication |
Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002 |
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502–507 |
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DAG;RV;CAT;IAM;CIC;ADAS |
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IAM @ iam @ VTB2002 |
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1660 |
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| Author |
Sergio Vera |
| Title |
Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis |
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Report |
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2010 |
Publication |
CVC Technical Report |
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164 |
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Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score |
| Abstract |
Rheumatoid arthritis is an autoimmune, systemic, inflammatory disorder that mainly af- fects bone joints. While there is no cure for this disease, continuous advances on palliative treatments require frequent verification of patient’s illness evolution. Such evolution is mea- sured through several available semi-quantitative methods that require evaluation of hand and foot X-ray images. Accurate assessment is a time consuming task that requires highly trained personnel. This hinders a generalized use in clinical practice for early diagnose and disease follow-up. In the context of the automatization of such evaluation methods we present a method for detection and characterization of finger joints in hand radiography images. Several measures for assessing the reduction of joint space width are proposed. We compare for the first time such measures to the Van der Heijde score, the gold standard method for rheumatoid arthritis assessment. The proposed method outperforms existing strategies with a detection rate above 95%. Our comparison to Van der Heijde index shows a promising correlation that encourages further research. |
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Master's thesis |
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Bellaterra 01893, Barcelona, Spain |
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IAM |
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IAM @ iam @ Ver2010 |
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1661 |
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| Author |
Fernando Vilariño; Debora Gil; Petia Radeva |
| Title |
A Novel FLDA Formulation for Numerical Stability Analysis |
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Book Chapter |
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2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
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113 |
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77-84 |
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Supervised Learning; Linear Discriminant Analysis; Numerical Stability; Computer Vision |
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Fisher Linear Discriminant Analysis (FLDA) is one of the most popular techniques used in classification applying dimensional reduction. The numerical scheme involves the inversion of the within-class scatter matrix, which makes FLDA potentially ill-conditioned when it becomes singular. In this paper we present a novel explicit formulation of FLDA in terms of the eccentricity ratio and eigenvector orientations of the within-class scatter matrix. An analysis of this function will characterize those situations where FLDA response is not reliable because of numerical instability. This can solve common situations of poor classification performance in computer vision. |
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IOS Press |
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J. Vitrià, P. Radeva and I. Aguiló |
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978-1-58603-466-5 |
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| Notes |
MV;IAM;MILAB;SIAI |
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IAM @ iam @ VGR2004 |
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1663 |
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