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Author |
David Vazquez; Enrique Cabello |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Empleo de sistemas biométricos faciales aplicados al reconocimiento de personas en aeropuertos |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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Year |
2007 |
Publication |
Ingeniería Técnica en Informática de Sistemas |
Abbreviated Journal |
URJC |
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Keywords |
Surveillance; Face detection; Face recognition |
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Abstract |
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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no |
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ADAS @ adas @ VC2007a |
Serial |
1671 |
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Author |
Eric Amiel |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Visualisation de vaisseaux sanguins |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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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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Publisher |
Université Paul Sabatier Toulouse III |
Place of Publication |
Toulouse |
Editor |
Enric Marti |
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French |
Summary Language |
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 |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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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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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Barcelona, Spain |
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800 |
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Notes |
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 |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Computer vision techniques for characterization of finger joints in X-ray image |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
165 |
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Pages |
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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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Notes |
MV;IAM; |
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no |
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Call Number |
IAM @ iam @ Nuñ2011 |
Serial |
1795 |
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Author |
Carles Sanchez |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Tracheal ring detection in bronchoscopy |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
168 |
Issue |
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Pages |
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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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Editor |
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 |
Serial |
1841 |
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Permanent link to this record |
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Author |
Hany Salah Eldeen |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Colour Naming in Context through a Perceptual Model |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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130 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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no |
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Admin @ si @ Eld2009 |
Serial |
2389 |
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Author |
Naila Murray |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Perceptual Feature Detection |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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131 |
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Corporate Author |
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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no |
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Call Number |
Admin @ si @ Mur2009 |
Serial |
2390 |
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Author |
Josep M. Gonfaus |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Semantic Segmentation of Images Using Random Ferns |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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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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ISE |
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Admin @ si @ Gon2009 |
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2391 |
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Author |
Alejandro Gonzalez Alzate |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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166 |
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Bellaterra (Spain) |
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Corporate Author |
Computer Vision Center |
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Master's thesis |
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ADAS |
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Admin @ si @ Gon2011 |
Serial |
1932 |
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Author |
Yainuvis Socarras |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Image segmentation for improving pedestrian detection |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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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 |
Serial |
1933 |
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Author |
Maria del Camp Davesa |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Human action categorization in image sequences |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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169 |
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Address |
Bellaterra (Spain) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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CiC;CIC |
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Admin @ si @ Dav2011 |
Serial |
1934 |
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Author |
Monica Piñol |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Adaptative Vocabulary Tree for Image Classification using Reinforcement Learning |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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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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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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ADAS |
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Admin @ si @ Piñ2010 |
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1936 |
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Author |
Lluis Gomez |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Perceptual Organization for Text Extraction in Natural Scenes |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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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 |
Serial |
2309 |
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Author |
Albert Gordo |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
A Cyclic Page Layout Descriptor for Document Classification & Retrieval |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
128 |
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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;DAG |
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no |
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Call Number |
Admin @ si @ Gor2009 |
Serial |
2387 |
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Author |
Noha Elfiky |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Enhancing Local Binary Patterns with Spatial Pyramid Kernel: Application to Scene Classification |
Type ![sorted by Type field, ascending order (up)](img/sort_asc.gif) |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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129 |
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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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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Expedition |
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Conference |
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Notes |
ISE |
Approved |
no |
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Call Number |
Admin @ si @ Elf2009 |
Serial |
2388 |
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Permanent link to this record |