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Author |
Patricia Marquez |
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Title |
Conditions Ensuring Accuracy of Local Optical Flow Schemes |
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Report |
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Year |
2010 |
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CVC Tehcnical Report |
Abbreviated Journal |
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157 |
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Accurate computation of optical flow is a key-point in many image processing fields. Detection of anomalous and unpredicted agents (such as pedestrians, bikers or cars) in urban scenes or pathology discrimination in medical imaging sequences, to mention just a two. The above kinds sequences present two main difficulties for standard optical flow techniques. On one hand, variability in acquisition conditions (illuminance, medical imaging modality, ...) force an alterantive representation for images fulfilling the britghtness constancy constrain. On the hand, current variational schemes produce oversmoothed fields unable to properly model discontinuous behaviours such as collisions or functionless pathological areas. This master project explores the abilities and limitations of local and global optical flow approaches. The master student will put especial emphasis in the theoretical grounds behind in order to design a variational framework combining the theoretical advantages of the considered techniques. In particular an optical flow based on Gabor phase tracking (developed in the group for medical imaging) will be generalized to urban scenes. |
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Bellaterra 08193, Barcelona, Spain |
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IAM @ iam @ Mar2010 |
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1582 |
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Author |
Ferran Poveda |
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Title |
Visualització i interpretació tridimensional de l’arquitectura de les fibres musculars del miocardi |
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2009 |
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Master en Tecnologies Multimedia |
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08193 Bellaterra, Barcelona (Spain) |
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IAM; |
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IAM @ iam @ Pov2009 |
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1625 |
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Author |
Sergio Vera |
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Title |
Finger joint modelling from hand X-ray images for assessing rheumatoid arthritis |
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Report |
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Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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164 |
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Keywords |
Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score |
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Abstract |
Rheumatoid arthritis is an autoimmune, systemic, inflammatory disorder that mainly af- fects bone joints. While there is no cure for this disease, continuous advances on palliative treatments require frequent verification of patient’s illness evolution. Such evolution is mea- sured through several available semi-quantitative methods that require evaluation of hand and foot X-ray images. Accurate assessment is a time consuming task that requires highly trained personnel. This hinders a generalized use in clinical practice for early diagnose and disease follow-up. In the context of the automatization of such evaluation methods we present a method for detection and characterization of finger joints in hand radiography images. Several measures for assessing the reduction of joint space width are proposed. We compare for the first time such measures to the Van der Heijde score, the gold standard method for rheumatoid arthritis assessment. The proposed method outperforms existing strategies with a detection rate above 95%. Our comparison to Van der Heijde index shows a promising correlation that encourages further research. |
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Bellaterra 01893, Barcelona, Spain |
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IAM @ iam @ Ver2010 |
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1661 |
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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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Author |
Eric Amiel |
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Title |
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 |
Place of Publication |
Toulouse |
Editor |
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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IAM @ iam @ Ami2005 |
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1690 |
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Author |
Jorge Bernal |
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Title |
Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction |
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Report |
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Year |
2009 |
Publication |
CVC Tecnical Report |
Abbreviated Journal |
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Volume |
141 |
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Projection, Back-projection, CT scan, Euclidean geometry, Radon transform |
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One of the biggest drawbacks related to the use of CT scanners is the cost (in memory and in time) associated. In this project many methods to simulate their functioning, but in a more feasible way (taking an industrial point of view), will be studied.
The main group of techniques that are being used are the one entitled as ’back-projection’. The concept behind is to simulate the X ray emission in CT scans by lines that cross with the image we want to reconstruct.
In the first part of this document euclidean geometry is used to face the tasks of projec- tion and back-projection. After analysing the results achieved it has been proved that this approach does not lead to a fully perfect reconstruction (and also has some other problems related to running time and memory cost). Because of this in the second part of the document ’Filtered Back-projection’ method is introduced in order to improve the results.
Filtered Back-projection methods rely on mathematical transforms (Fourier, Radon) in order to provide more accurate results that can be obtained in much less time. The main cause of this better results is the use of a filtering process before the back-projection in order to avoid high frequency-caused errors.
As a result of this project two different implementations (one for each approach) had been implemented in order to compare their performance. |
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Computer Vision Center |
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Master's thesis |
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Barcelona, Spain |
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800 |
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MV; |
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no |
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Call Number |
IAM @ iam @ Ber2009 |
Serial |
1693 |
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Author |
Joan M. Nuñez |
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Title |
Computer vision techniques for characterization of finger joints in X-ray image |
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Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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165 |
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Keywords |
Rheumatoid arthritis, X-ray, Sharp Van der Heijde, joint characterization, sclerosis detection, bone detection, edge, ridge |
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Abstract |
Rheumatoid arthritis (RA) is an autoimmune inflammatory type of arthritis which mainly affects hands on its first stages. Though it is a chronic disease and there is no cure for it, treatments require an accurate assessment of illness evolution. Such assessment is based on evaluation of hand X-ray images by using one of the several available semi-quantitative methods. This task requires highly trained medical personnel. That is why the automation of the assessment would allow professionals to save time and effort. Two stages are involved in this task. Firstly, the joint detection, afterwards, the joint characterization. Unlike the little existing previous work, this contribution clearly separates those two stages and sets the foundations of a modular assessment system focusing on the characterization stage. A hand joint dataset is created and an accurate data analysis is achieved in order to identify relevant features. Since the sclerosis and the lower bone were decided to be the most important features, different computer vision techniques were used in order to develop a detector system for both of them. Joint space width measures are provided and their correlation with Sharp-Van der Heijde is verified |
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Address |
Bellaterra (Barcelona) |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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Dr. Fernando Vilariño and Dra. Debora Gil |
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MV;IAM; |
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IAM @ iam @ Nuñ2011 |
Serial |
1795 |
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Author |
Carles Sanchez |
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Title |
Tracheal ring detection in bronchoscopy |
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Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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168 |
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Bronchoscopy, tracheal ring, segmentation |
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Endoscopy is the process in which a camera is introduced inside a human.
Given that endoscopy provides realistic images (in contrast to other modalities) and allows non-invase minimal intervention procedures (which can aid in diagnosis and surgical interventions), its use has spreaded during last decades.
In this project we will focus on bronchoscopic procedures, during which the camera is introduced through the trachea in order to have a diagnostic of the patient. The diagnostic interventions are focused on: degree of stenosis (reduction in tracheal area), prosthesis or early diagnosis of tumors. In the first case, assessment of the luminal area and the calculation of the diameters of the tracheal rings are required. A main limitation is that all the process is done by hand,
which means that the doctor takes all the measurements and decisions just by looking at the screen. As far as we know there is no computational framework for helping the doctors in the diagnosis.
This project will consist of analysing bronchoscopic videos in order to extract useful information for the diagnostic of the degree of stenosis. In particular we will focus on segmentation of the tracheal rings. As a result of this project several strategies (for detecting tracheal rings) had been implemented in order to compare their performance. |
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Master's thesis |
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Debora Gil, F.Javier Sanchez |
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english |
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english |
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IAM;MV |
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no |
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Call Number |
IAM @ iam @ San2011 |
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1841 |
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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 |
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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 |
Naila Murray |
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Title |
Perceptual Feature Detection |
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2009 |
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CVC Technical Report |
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131 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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CIC |
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Admin @ si @ Mur2009 |
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2390 |
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Author |
Josep M. Gonfaus |
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Title |
Semantic Segmentation of Images Using Random Ferns |
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2009 |
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CVC Technical Report |
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132 |
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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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2391 |
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Alejandro Gonzalez Alzate |
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Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
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2011 |
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CVC Technical Report |
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166 |
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Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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Admin @ si @ Gon2011 |
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1932 |
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Yainuvis Socarras |
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Image segmentation for improving pedestrian detection |
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2011 |
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CVC Technical Report |
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167 |
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Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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ADAS; |
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Admin @ si @ Soc2011 |
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1933 |
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Author |
Maria del Camp Davesa |
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Title |
Human action categorization in image sequences |
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2011 |
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CVC Technical Report |
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169 |
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Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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CiC;CIC |
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Admin @ si @ Dav2011 |
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1934 |
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Author |
Monica Piñol |
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Title |
Adaptative Vocabulary Tree for Image Classification using Reinforcement Learning |
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2010 |
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CVC Technical Report |
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162 |
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Bellaterra (Barcelona) |
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Computer Vision Center |
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Master's thesis |
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Call Number |
Admin @ si @ Piñ2010 |
Serial |
1936 |
|
Permanent link to this record |