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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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1996 |
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CVC Technical Report |
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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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MILAB;IAM |
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IAM @ iam @ RHM1996 |
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1631 |
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Author |
David Vazquez; Enrique Cabello |
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Title |
Empleo de sistemas biométricos faciales aplicados al reconocimiento de personas en aeropuertos |
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Report |
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2007 |
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Ingeniería Técnica en Informática de Sistemas |
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Surveillance; Face detection; Face recognition |
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El presente proyecto se desarrolló a lo largo del año 2005 y 2006, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entre- nado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas.
Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran que, en general, un sistema de verificación facial basado en imágenes puede ser una valiosa ayuda a un operario que deba estar vigilando amplias zonas. |
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Bachelor's thesis |
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invisible;ADAS |
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ADAS @ adas @ VC2007a |
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1671 |
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Eric Amiel |
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Visualisation de vaisseaux sanguins |
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2005 |
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Rapport de Stage |
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Université Paul Sabatier Toulouse III |
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Bachelor's thesis |
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Université Paul Sabatier Toulouse III |
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Toulouse |
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Enric Marti |
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French |
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French |
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IUP Systèmes Intelligents |
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IAM |
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1690 |
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Author |
Wenjuan Gong |
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Action priors for human pose tracking by particle filter |
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2009 |
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CVC Technical Report |
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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 @ Gon2009 |
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2401 |
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Author |
Sebastian Ramos |
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Vision-based Detection of Road Hazards for Autonomous Driving |
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2014 |
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CVC Technical Report |
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UAB; September 2014 |
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Master's thesis |
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ADAS; 600.076 |
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Admin @ si @ Ram2014 |
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2580 |
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Author |
Daniel Hernandez; Alejandro Chacon; Antonio Espinosa; David Vazquez; Juan Carlos Moure; Antonio Lopez |
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Title |
Stereo Matching using SGM on the GPU |
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2016 |
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Programming and Tuning Massively Parallel Systems |
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PUMPS |
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CUDA; Stereo; Autonomous Vehicle |
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Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles. Semi-Global Matching (SGM) is a widely used algorithm that propagates consistency constraints along several paths across the image. This work presents a real-time system producing reliable disparity estimation results on the new embedded energy efficient GPU devices. Our design runs on a Tegra X1 at 42 frames per second (fps) for an image size of 640x480, 128 disparity levels, and using 4 path directions for the SGM method. |
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ADAS; 600.085; 600.087; 600.076 |
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ADAS @ adas @ HCE2016b |
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2776 |
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