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Javier Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva |
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Title  |
Appearance Tracking for Video Surveillance |
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2003 |
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ISE @ ise @ VGR2003a |
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358 |
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Javier Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva |
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Title |
Appearance Tracking for Video Surveillance |
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Miscellaneous |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:1041–1048 |
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ISE @ ise @ VGR2003b |
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425 |
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Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Title |
Automatic Keyframing of Human Actions for Computer Animation |
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2003 |
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ISE @ ise @ GVR2003a |
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359 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Title |
Automatic Keyframing of Human Actions for Computer Animation |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:287–296 |
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ISE @ ise @ GVR2003b |
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381 |
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Author |
J.L. Pech-Pacheco; J. Alvarez-Borrego; Gabriel Cristobal; Matthias S. Keil |
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Title |
Automatic object identification irrespective to geometric changes |
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2003 |
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Optical Engineering, 42(2): 551–559 (IF: 0.877) |
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Admin @ si @ PAC2003 |
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632 |
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Author |
Fernando Vilariño; Petia Radeva |
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Title |
Cardiac Segmentation with Discriminant Active Contours |
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2003 |
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211–217 |
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Abstract |
Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods. |
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Palma de Mallorca |
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IOS Press |
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CCIA |
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MV;MILAB;SIAI |
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no |
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BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 |
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426 |
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Author |
Ramon Baldrich; Maria Vanrell; Robert Benavente; Anna Salvatella |
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Title |
Color Enhancement based on perceptual sharpening |
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Miscellaneous |
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2003 |
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Proceedings of the IEEE International Conference on Image Processing |
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Barcelona |
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CIC |
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no |
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CAT @ cat @ BVB2003 |
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370 |
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Author |
Jaume Garcia; David Rotger; Francesc Carreras; R.Leta; Petia Radeva |
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Title |
Contrast echography segmentation and tracking by trained deformable models |
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Year |
2003 |
Publication |
Proc. Computers in Cardiology |
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30 |
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173-176 |
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The objective of this work is to segment the human left ventricle myocardium (LVM) in contrast echocardiography imaging and thus track it along a cardiac cycle in order to extract quantitative data about heart function. Ultrasound images are hard to work with due to their speckle appearance. To overcome this we report the combination of active contour models (ACM) or snakes and active shape models (ASM). The ability of ACM in giving closed and smooth curves in addition to the power of the ASM in producing shapes similar to the ones learned, evoke to a robust algorithm. Meanwhile the snake is attracted towards image main features, ASM acts as a correction factor. The algorithm was tested independently on 180 frames and satisfying results were obtained: in 95% the maximum difference between automatic and experts segmentation was less than 12 pixels. |
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Centre de Visió per Computador – Dept. Informàtica, UAB Edifici O – Campus UAB, 08193 Bellater |
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0276-6547 |
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0-7803-8170-X |
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IAM;MILAB |
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IAM @ iam @ GRC2003 |
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1512 |
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Author |
Oriol Rodriguez-Leor; J. Mauri; E. Fernandez-Nofrerias; J. Lopez; M. Gomez; V. Valle; David Rotger; Petia Radeva |
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Title |
Coronary arteries three-dimensional quantification using intravascular ultrasound and angiography |
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2003 |
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European Heart Journal (IF: 5.997), ESC Congress 2003 |
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Vienna |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RMF2003d |
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411 |
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O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; J. Lopez; A. Tovar; V. Valle; David Rotger; Petia Radeva |
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Title |
Cuantificacion tridimensional de la longitud de segmentos coronarios a partir de secuencias de ecografia intracoronaria |
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2003 |
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Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares |
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Sevilla (Spain) |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RMF2003g |
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414 |
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Author |
Debora Gil; Petia Radeva |
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Title |
Curvature based Distance Maps |
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2003 |
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CVC Technical Report |
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70 |
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Computer Vision Center |
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IAM;MILAB |
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no |
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IAM @ iam @ GIR2003a |
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1534 |
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Debora Gil; Petia Radeva |
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Title |
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling |
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2003 |
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Energy Minimization Methods In Computer Vision And Pattern Recognition |
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LNCS |
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2683 |
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357-372 |
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Initial condition; Convex shape; Non convex analysis; Increase; Segmentation; Gradient; Standard; Standards; Concave shape; Flow models; Tracking; Edge detection; Curvature |
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Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represents a force that pushes the snake into concave regions, as its internal energy increases when new inexion points are created. In spite of the improvement of the external energy by the gradient vector ow technique, highly non convex shapes can not be obtained, yet. In the present paper, we develop a new external energy based on the geometry of the curve to be modelled. By tracking back the deformation of a curve that evolves by minimum curvature ow, we construct a distance map that encapsulates the natural way of adapting to non convex shapes. The gradient of this map, which we call curvature vector ow (CVF), is capable of attracting a snake towards any contour, whatever its geometry. Our experiments show that, any initial snake condition converges to the curve to be modelled in optimal time. |
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Springer, Berlin |
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Lisbon, PORTUGAL |
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Springer, B. |
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Lecture Notes in Computer Science |
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LNCS |
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0302-9743 |
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3-540-40498-8 |
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IAM;MILAB |
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IAM @ iam @ GIR2003b |
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1535 |
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Author |
Oriol Ramos Terrades |
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Descripcio i classificacio de simbols tecnics usant la transformada de crestetes |
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2003 |
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CVC Technical Report #74 |
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CVC (UAB) |
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DAG |
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DAG @ dag @ Ram2003 |
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517 |
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Author |
David Masip |
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Title |
Dimensionality reduction techniques applied to nearest neighbor classification |
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2003 |
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CVC Technical Report #72 |
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OR;MV |
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Admin @ si @ Mas2003 |
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519 |
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Author |
Xose M. Pardo; Petia Radeva; D. Cabello |
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Title |
Discriminant Snakes for 3D Reconstruction of Anatomical Organs |
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2003 |
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Medical Image Analysis, 7(3): 293–310 (IF: 4.442) |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ PPC2003 |
Serial |
398 |
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