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Author  |
Jaume Garcia |
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Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
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Report |
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Year |
2004 |
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CVC Technical Report |
Abbreviated Journal |
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78 |
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Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
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Abstract |
Medical imaging is very useful in the assessment and treatment of many diseases. To deal with the great amount of data provided by imaging scanners and extract quantitative information that physicians can interpret, many analysis algorithms have been developed. Any process of analysis always consists of a first step of segmenting some particular structure. In medical imaging, structures are not always well defined and suffer from noise artifacts thus, ordinary segmentation methods are not well suited. The ones that seem to give better results are those based on deformable models. Nevertheless, despite their capability of mixing image features together with smoothness constraints that may compensate for image irregularities, these are naturally local methods, i. e., each node of the active contour evolve taking into account information about its neighbors and some other weak constraints about flexibility and smoothness, but not about the global shape that they should find. Due to the fact that structures to be segmented are the same for all cases but with some inter and intra-patient variation, the incorporation of a priori knowledge about shape in the segmentation method will provide robustness to it. Active Shape Models is an algorithm based on the creation of a shape model called Point Distribution Model. It performs a segmentation using only shapes similar than those previously learned from a training set that capture most of the variation presented by the structure. This algorithm works by updating shape nodes along a normal segment which often can be too restrictive. For this reason we propose a generalization of this algorithm that we call Generalized Active Shape Models and fully integrates the a priori knowledge given by the Point Distribution Model with deformable models or any other appropriate segmentation method. Two different applications to cardiac imaging of this generalized method are developed and promising results are shown. |
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CVC (UAB) |
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Master's thesis |
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IAM; |
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IAM @ iam @ Gar2004 |
Serial |
1513 |
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Author |
Ivet Rafegas |
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Title |
Exploring Low-Level Vision Models. Case Study: Saliency Prediction |
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2013 |
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CVC Technical Report |
Abbreviated Journal |
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175 |
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Admin @ si @ Raf2013 |
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2409 |
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Author |
Hany Salah Eldeen |
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Title |
Colour Naming in Context through a Perceptual Model |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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130 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Eld2009 |
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2389 |
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Author |
German Ros |
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Title |
Visual SLAM for Driverless Cars: An Initial Survey |
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2012 |
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CVC Technical Report |
Abbreviated Journal |
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170 |
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Admin @ si @ Ros2012c |
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2414 |
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Author |
Francesco Brughi |
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Title |
Artistic Heritage Motive Retrieval: an Explorative Study |
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2013 |
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CVC Technical Report |
Abbreviated Journal |
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176 |
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Admin @ si @ Bru2013 |
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2410 |
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Author |
Farshad Nourbakhsh |
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Title |
Colour logo recognition |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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145 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Nou2009 |
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2399 |
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Author |
Enric Sala |
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Title |
Off-line person-dependent signature verification |
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Report |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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146 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Sal2009 |
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2400 |
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Author |
Enric Marti |
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Title |
Análisis de elementos gráficos en documentos |
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Year |
1996 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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9 |
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Abstract |
En este texto se presenta un estudio sobre las t’ecnicas y aplicaciones de an’alisis de documentos, y más concretamente abordando la problem’atica del an’alisis de de entidades gr’aficas. El ’area de an’alisis de documentos tiene como objetivo la interpretaci’on de documentos impresos sobre papel por m’etodos computacionales, para obtener una descripci’on con un alto nivel de abstracci’on, que permita su posterior tratamiento y archivo por m’etodos inform’aticos. Este objetivo, junto a los trabajos realizados hasta el momento, le otorgan a esta ’area un amplio ’ambito de aplicaciones para la manipulaci’on y archivo de documentos sobre papel, que puede llegar a significar un salto cualitativo importante (del papel al disco ’optico) en el uso de soportes de informaci’on, debido a las importantes prestaciones de acceso y capacidad de archivo que suponen los medios inform’aticos. Generalmente los documentos son introducidos en los sistemas de an’alisis de documentos mediante scanner, obt... |
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Computer Vision Centre |
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CVC UAB |
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IAM; |
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IAM @ iam @ Mar1996 |
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1587 |
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Author |
Ekain Artola |
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Title |
Human Attention Map Prediction Combining Visual Features |
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Report |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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160 |
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Bachelor's thesis |
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Admin @ si @ Art2010 |
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1352 |
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Author |
Diego Alejandro Cheda |
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Title |
Monocular egomotion estimation for ADAS application |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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148 |
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Computer Vision Center |
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Ph.D. thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Che2009 |
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2402 |
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Author |
Debora Gil; Petia Radeva |
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Title |
Curvature based Distance Maps |
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Report |
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2003 |
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CVC Technical Report |
Abbreviated Journal |
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70 |
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Computer Vision Center |
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IAM;MILAB |
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IAM @ iam @ GIR2003a |
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1534 |
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Author |
Debora Gil |
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Title |
Regularized Curvature Flow |
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2002 |
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CVC Technical Report |
Abbreviated Journal |
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63 |
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Computer Vision Centre |
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IAM; |
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IAM @ iam @ Gil2002 |
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1518 |
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Author |
David Vazquez; David Geronimo; Antonio Lopez |
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Title |
The effect of the distance in pedestrian detection |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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149 |
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Pedestrian Detection |
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Pedestrian accidents are one of the leading preventable causes of death. In order to reduce the number of accidents, in the last decade the pedestrian protection systems have been introduced, a special type of advanced driver assistance systems, in witch an on-board camera explores the road ahead for possible collisions with pedestrians in order to warn the driver or perform braking actions. As a result of the variability of the appearance, pose and size, pedestrian detection is a very challenging task. So many techniques, models and features have been proposed to solve the problem. As the appearance of pedestrians varies signi cantly as a function of distance, a system based on multiple classi ers specialized on diferent depths is likely to improve the overall performance with respect to a typical system based on a general detector. Accordingly, the main aim of this work is to explore the e ect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two di erent databases (INRIA and Daimler09) for two di erent sizes (small and big). By a extensive set of experiments we answer to questions like which datasets and evaluation methods are the most adequate, which is the best method for each size of the pedestrians and why or how do the method optimum parameters vary with respect to the distance |
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M.Sc. |
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ADAS @ adas @ VGL2009 |
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1669 |
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Author |
David Fernandez |
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Title |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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161 |
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Admin @ si @ Fer2010b |
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1353 |
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Author |
David Augusto Rojas |
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Title |
Colouring Local Feature Detection for Matching |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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133 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Roj2009 |
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2392 |
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