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Author |
David Guillamet; Jordi Vitria; B. Shiele |
Title |
Introducing a weighted non-negative matrix factorization for image classification |
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Journal Article |
Year |
2003 |
Publication |
Pattern Recognition Letters |
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PRL |
Volume |
24 |
Issue |
14 |
Pages |
2447–2454 |
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IF: 0.809 |
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OR;MV |
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BCNPCL @ bcnpcl @ GVS2003 |
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382 |
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Author |
Judit Martinez; Eva Costa; P. Herreros; F. Javier Sanchez; Ramon Baldrich |
Title |
A Modular and Scalable Architecture for PC-Based Real-Time Vision Systems |
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Journal Article |
Year |
2003 |
Publication |
Real–Time Imaging, (IF: 0.512) |
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9 |
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99-112 |
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CIC |
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no |
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CAT @ cat @ MCH2003b |
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394 |
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Author |
Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martinez; Xavier Roca |
Title |
Quality control of safety belts by machine vision inspection for real-time production |
Type |
Journal Article |
Year |
2003 |
Publication |
Optical Engineering (IF: 0.877) |
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42 |
Issue |
4 |
Pages |
1114-1120 |
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SPIE |
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ADAS;ISE;CIC |
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no |
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ADAS @ adas @ PRL2003 |
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399 |
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Author |
O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; C. Garcia; R. Villuendas; A. Tovar; A. Duran; V. Valle; Misael Rosales; Petia Radeva |
Title |
Model Empiric de Simulacio d Ecografia Intravascular |
Type |
Journal Article |
Year |
2003 |
Publication |
Revista Societat Catalana de Cardiologia, 4(4):42, XIVe Congres de la Societat Catalana de Cardiologia |
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Barcelona |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RMF2003e |
Serial |
412 |
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Author |
Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; C. Garcia; R. Villuendas; Vicente del Valle; Debora Gil; Petia Radeva |
Title |
Reconstruction of a spatio-temporal model of the intima layer from intravascular ultrasound sequences |
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Journal Article |
Year |
2003 |
Publication |
European Heart Journal |
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ESC Congress |
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IAM;MILAB |
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no |
Call Number |
IAM @ iam @ RMF2003c |
Serial |
1641 |
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Author |
David Rotger; Misael Rosales; Jaume Garcia; Oriol Pujol ; J. Mauri; Petia Radeva |
Title |
Active Vessel: A New Multimedia Workstation for Intravascular Ultrasound and Angiography Fusion |
Type |
Journal Article |
Year |
2003 |
Publication |
Computers in Cardiology |
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Volume |
30 |
Issue |
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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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no |
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IAM @ iam @ RRG2003 |
Serial |
1647 |
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Author |
Ernest Valveny; Enric Marti |
Title |
A model for image generation and symbol recognition through the deformation of lineal shapes |
Type |
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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no |
Call Number |
IAM @ iam @ VAM2003 |
Serial |
1653 |
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Author |
Debora Gil; Petia Radeva |
Title |
A Regularized Curvature Flow Designed for a Selective Shape Restoration |
Type |
Journal Article |
Year |
2004 |
Publication |
IEEE Transactions on Image Processing |
Abbreviated Journal |
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Volume |
13 |
Issue |
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Pages |
1444–1458 |
Keywords |
Geometric flows, nonlinear filtering, shape recovery. |
Abstract |
Among all filtering techniques, those based exclu- sively on image level sets (geometric flows) have proven to be the less sensitive to the nature of noise and the most contrast preserving. A common feature to existent curvature flows is that they penalize high curvature, regardless of the curve regularity. This constitutes a major drawback since curvature extreme values are standard descriptors of the contour geometry. We argue that an operator designed with shape recovery purposes should include a term penalizing irregularity in the curvature rather than its magnitude. To this purpose, we present a novel geometric flow that includes a function that measures the degree of local irregularity present in the curve. A main advantage is that it achieves non-trivial steady states representing a smooth model of level curves in a noisy image. Performance of our approach is compared to classical filtering techniques in terms of quality in the restored image/shape and asymptotic behavior. We empirically prove that our approach is the technique that achieves the best compromise between image quality and evolution stabilization. |
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IAM;MILAB |
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no |
Call Number |
BCNPCL @ bcnpcl @ GiR2004b |
Serial |
491 |
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Author |
Debora Gil; Petia Radeva |
Title |
Shape Restoration via a Regularized Curvature Flow |
Type |
Journal Article |
Year |
2004 |
Publication |
Journal of Mathematical Imaging and Vision |
Abbreviated Journal |
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Volume |
21 |
Issue |
3 |
Pages |
205-223 |
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Abstract |
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;MILAB |
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no |
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IAM @ iam @ GiR2004c |
Serial |
1532 |
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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 |
Title |
Utilización de la Estructura de los Campos Vectoriales para la Detección de la Adventicia en Imágenes de Ecografía Intracoronaria |
Type |
Journal Article |
Year |
2004 |
Publication |
Revista Internacional de Enfermedades Cardiovasculares Revista Española de Cardiología |
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Volume |
57 |
Issue |
2 |
Pages |
100 |
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SEC |
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IAM;MILAB |
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no |
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IAM @ iam @ RMF2004 |
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1642 |
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Author |
Antonio Lopez; Ernest Valveny; Juan J. Villanueva |
Title |
Real-time quality control of surgical material packaging by artificial vision |
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Journal Article |
Year |
2005 |
Publication |
Assembly Automation |
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25 |
Issue |
3 |
Pages |
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Abstract |
IF: 0.061) |
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ADAS;DAG |
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no |
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ADAS @ adas @ LVV2005 |
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552 |
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Author |
A. Sanfeliu; Juan J. Villanueva |
Title |
An approach of visual motion analysis |
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Journal Article |
Year |
2005 |
Publication |
Pattern Recognition Letters |
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PRL |
Volume |
26 |
Issue |
3 |
Pages |
355–368 |
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Abstract |
IF: 1.138 |
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no |
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ISE @ ise @ SaV2005 |
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561 |
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Author |
Jaume Amores; Petia Radeva |
Title |
Registration and Retrieval of Highly Elastic Bodies using Contextual Information |
Type |
Journal Article |
Year |
2005 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
Volume |
26 |
Issue |
11 |
Pages |
1720–1731 |
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Abstract |
IF: 1.138 |
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ADAS;MILAB |
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no |
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ADAS @ adas @ AmR2005b |
Serial |
592 |
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Author |
Debora Gil; Petia Radeva |
Title |
Extending anisotropic operators to recover smooth shapes |
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Journal Article |
Year |
2005 |
Publication |
Computer Vision and Image Understanding |
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Volume |
99 |
Issue |
1 |
Pages |
110-125 |
Keywords |
Contour completion; Functional extension; Differential operators; Riemmanian manifolds; Snake segmentation |
Abstract |
Anisotropic differential operators are widely used in image enhancement processes. Recently, their property of smoothly extending functions to the whole image domain has begun to be exploited. Strong ellipticity of differential operators is a requirement that ensures existence of a unique solution. This condition is too restrictive for operators designed to extend image level sets: their own functionality implies that they should restrict to some vector field. The diffusion tensor that defines the diffusion operator links anisotropic processes with Riemmanian manifolds. In this context, degeneracy implies restricting diffusion to the varieties generated by the vector fields of positive eigenvalues, provided that an integrability condition is satisfied. We will use that any smooth vector field fulfills this integrability requirement to design line connection algorithms for contour completion. As application we present a segmenting strategy that assures convergent snakes whatever the geometry of the object to be modelled is. |
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Edition |
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1077-3142 |
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IAM;MILAB |
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no |
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IAM @ iam @ GIR2005 |
Serial |
1530 |
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Author |
Oriol Pujol; Debora Gil; Petia Radeva |
Title |
Fundamentals of Stop and Go active models |
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Journal Article |
Year |
2005 |
Publication |
Image and Vision Computing |
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Volume |
23 |
Issue |
8 |
Pages |
681-691 |
Keywords |
Deformable models; Geodesic snakes; Region-based segmentation |
Abstract |
An efficient snake formulation should conform to the idea of picking the smoothest curve among all the shapes approximating an object of interest. In current geodesic snakes, the regularizing curvature also affects the convergence stage, hindering the latter at concave regions. In the present work, we make use of characteristic functions to define a novel geodesic formulation that decouples regularity and convergence. This term decoupling endows the snake with higher adaptability to non-convex shapes. Convergence is ensured by splitting the definition of the external force into an attractive vector field and a repulsive one. In our paper, we propose to use likelihood maps as approximation of characteristic functions of object appearance. The better efficiency and accuracy of our decoupled scheme are illustrated in the particular case of feature space-based segmentation. |
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Butterworth-Heinemann |
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Newton, MA, USA |
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0262-8856 |
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IAM;MILAB;HuPBA |
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IAM @ iam @ PGR2005 |
Serial |
1629 |
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