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Author |
Petia Radeva; Amir Amini; Jintao Huang; Enric Marti |
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Title |
Deformable B-Solids: application for localization and tracking of MRI-SPAMM data |
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Report |
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1996 |
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CVC Technical Report |
Abbreviated Journal |
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8 |
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To date, MRI-SPAMM data from different image slices have been analyzed independently. In this paper, we propose an approach for 3D tag localization and tracking of SPAMM data by a novel deformable B-solid. The solid is defined in terms of a 3D tensor product B-spline. The isoparametric curves of the B-spline solid have special importance. These are termed implicit snakes as they deform under image forces from tag lines in different image slices. The localization and tracking of tag lines is performed under constraints of continuity and smoothness of the B-solid. The framework unifies the problems of localization, and displacement fitting and interpolation into the same procedure utilizing B-spline bases for interpolation. To track motion from boundaries and restrict image forces to the myocardium, a volumetric model is employed as a pair of coupled endocardial and epicardial B-spline surfaces. To recover deformations in the LV an energy-minimization problem is posed where both tag and ... |
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CVC (UAB) |
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MILAB;IAM |
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IAM @ iam @ RHM1996 |
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1631 |
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Author |
Debora Gil |
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Title |
Regularized Curvature Flow |
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Report |
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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 |
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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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 |
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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Author |
David Vazquez; David Geronimo; Antonio Lopez |
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Title |
The effect of the distance in pedestrian detection |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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149 |
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Keywords |
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 signicantly as a function of distance, a system based on multiple classiers 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 eect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two dierent databases (INRIA and Daimler09) for two dierent 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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Master's thesis |
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M.Sc. |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ VGL2009 |
Serial |
1669 |
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Author |
Albert Andaluz |
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Title |
LV Contour Segmentation in TMR images using Semantic Description of Tissue and Prior Knowledge Correction |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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142 |
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Keywords |
Active Contour Models; Snakes; Active Shape Models; Deformable Templates; Left Ventricle Segmentation; Generalized Orthogonal Procrustes Analysis; Harmonic Phase Flow; Principal Component Analysis; Tagged Magnetic Resonance |
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Abstract |
The Diagnosis of Left Ventricle (LV) pathologies is related to regional wall motion analysis. Health indicator scores such as the rotation and the torsion are useful for the diagnose of the Left Ventricle (LV) function. However, this requires proper identification of LV segments. On one hand, manual segmentation is robust, but it is slow and requires medical expertise. On the other hand, the tag pattern in Tagged Magnetic Resonance (TMR) sequences is a problem for the automatic segmentation of the LV boundaries. Consequently, we propose a method based in the classical formulation of parametric Snakes, combined with Active Shape models. Our semantic definition of the LV is tagged tissue that experiences motion in the systolic cycle. This defines two energy potentials for the Snake convergence. Additionally, the mean shape corrects excessive deviation from the anatomical shape. We have validated our approach in 15 healthy volunteers and two short axis cuts. In this way, we have compared the automatic segmentations to manual shapes outlined by medical experts. Also, we have explored the accuracy of clinical scores computed using automatic contours. The results show minor divergence in the approximation and the manual segmentations as well as robust computation of clinical scores in all cases. From this we conclude that the proposed method is a promising support tool for clinical analysis. |
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Master's thesis |
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Bellaterra 08193, Barcelona, Spain |
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IAM; |
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no |
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IAM @ iam @ And2009 |
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1667 |
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Author |
Antonio Lopez; Felipe Lumbreras; Joan Serrat |
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Title |
Efficient computation of local creaseness |
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Report |
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Year |
1997 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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15 |
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CVC, Bellaterra (Spain) |
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ADAS |
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ADAS @ adas @ LLS1997b |
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527 |
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Author |
Mohammad Rouhani |
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Title |
3D Data Fitting and Tracking for Real Time Applications |
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Report |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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138 |
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138 |
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Barcelona, Spain |
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Master's thesis |
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invisible;ADAS |
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no |
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Admin @ si @ Rou2009 |
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1150 |
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Author |
Marc Serra |
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Title |
Estimating Intrinsic Images from Physical and Categorical Color Cues |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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151 |
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CIC |
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no |
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Admin @ si @ Ser2010 |
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1345 |
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Author |
Ahmed Mounir Gad |
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Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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152 |
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Admin @ si @ Mou2010 |
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1346 |
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Author |
Antonio Hernandez |
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Title |
Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation |
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Report |
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2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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153 |
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HUPBA;MILAB |
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Admin @ si @ Her2010 |
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1347 |
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Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |
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Title |
Feature Detectors and Feature Descriptors: Where We Are Now |
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2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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154 |
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Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours. |
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MV;SIAI |
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Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
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1348 |
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Author |
Lluis Pere de las Heras |
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Syntactic Model for Semantic Document Analysis |
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2010 |
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CVC Technical Report |
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158 |
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Admin @ si @ Per2010 |
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1350 |
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Author |
Anjan Dutta |
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Title |
Symbol Spotting in Graphical Documents by Serialized Subgraph Matching |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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159 |
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DAG |
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Admin @ si @ Dut2010 |
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1351 |
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Author |
Ekain Artola |
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Title |
Human Attention Map Prediction Combining Visual Features |
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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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