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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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Keywords |
Projection, Back-projection, CT scan, Euclidean geometry, Radon transform |
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Abstract |
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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MV; |
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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 |
Type |
Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
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 |
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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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Volume |
168 |
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Keywords |
Bronchoscopy, tracheal ring, segmentation |
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Abstract |
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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Call Number |
IAM @ iam @ San2011 |
Serial |
1841 |
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Author |
Hany Salah Eldeen |
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Title |
Colour Naming in Context through a Perceptual Model |
Type |
Report |
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Year |
2009 |
Publication |
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 |
Naila Murray |
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Title |
Perceptual Feature Detection |
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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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131 |
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Corporate Author |
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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Call Number |
Admin @ si @ Mur2009 |
Serial |
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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Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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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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Author |
Alejandro Gonzalez Alzate |
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Title |
Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
Type |
Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
166 |
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Address |
Bellaterra (Spain) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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ADAS |
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Admin @ si @ Gon2011 |
Serial |
1932 |
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Author |
Yainuvis Socarras |
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Title |
Image segmentation for improving pedestrian detection |
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Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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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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Report |
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2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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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 |
Abbreviated Journal |
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162 |
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Bellaterra (Barcelona) |
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Computer Vision Center |
Thesis |
Master's thesis |
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ADAS |
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Admin @ si @ Piñ2010 |
Serial |
1936 |
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Author |
Lluis Gomez |
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Title |
Perceptual Organization for Text Extraction in Natural Scenes |
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Report |
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2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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173 |
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Bellaterra |
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Master's thesis |
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DAG |
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Admin @ si @ Gom2012 |
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2309 |
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Author |
Albert Gordo |
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Title |
A Cyclic Page Layout Descriptor for Document Classification & Retrieval |
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Report |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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128 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Bellaterra, Barcelona |
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CIC;DAG |
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Admin @ si @ Gor2009 |
Serial |
2387 |
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Author |
Noha Elfiky |
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Title |
Enhancing Local Binary Patterns with Spatial Pyramid Kernel: Application to Scene Classification |
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Report |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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129 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Bellaterra, Barcelona |
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Admin @ si @ Elf2009 |
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2388 |
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Author |
Onur Ferhat |
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Title |
Eye-Tracking with Webcam-Based Setups: Implementation of a Real-Time System and an Analysis of Factors Affecting Performance |
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Report |
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2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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172 |
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Computer vision, eye-tracking, gaussian process, feature selection, optical flow |
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In the recent years commercial eye-tracking hardware has become more common, with the introduction of new models from several brands that have better performance and easier setup procedures. A cause and at the same time a result of this phenomenon is the popularity of eye-tracking research directed at marketing, accessibility and usability, among others.
One problem with these hardware components is scalability, because both the price and the necessary expertise to operate them makes it practically impossible in the large scale. In this work, we analyze the feasibility of a software eye-tracking system based on a single, ordinary webcam. Our aim is to discover the limits of such a system and to see whether it provides acceptable performances.
The significance of this setup is that it is the most common setup found in consumer environments, off-the-shelf electronic devices such as laptops, mobile phones and tablet computers. As no special equipment such as infrared lights, mirrors or zoom lenses are used; setting up and calibrating the system is easier compared to other approaches using these components.
Our work is based on the open source application Opengazer, which provides a good starting point for our contributions. We propose several improvements in order to push the system's performance further and make it feasible as a robust, real-time device. Then we carry out an elaborate experiment involving 18 human subjects and 4 different system setups. Finally, we give an analysis of the results and discuss the effects of setup changes, subject differences and modifications in the software. |
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Bellaterra |
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Computer Vision Center |
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Master's thesis |
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Fernando Vilariño |
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MV |
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Admin @ si @ Fer2012; IAM @ iam @ Fer2012 |
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2165 |
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Author |
David Augusto Rojas |
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Title |
Colouring Local Feature Detection for Matching |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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133 |
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Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
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Call Number |
Admin @ si @ Roj2009 |
Serial |
2392 |
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