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Author |
David Fernandez |
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Title  |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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161 |
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Master's thesis |
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DAG |
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no |
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Admin @ si @ Fer2010b |
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1353 |
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Author |
Jose Carlos Rubio |
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Title |
Graph matching based on graphical models with application to vehicle tracking and classification at night |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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144 |
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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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no |
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Admin @ si @ Rub2009 |
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2398 |
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Author |
Jaume Garcia |
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Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
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2004 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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78 |
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Keywords |
Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
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Abstract |
Medical imaging is very useful in the assessment and treatment of many diseases. To deal with the great amount of data provided by imaging scanners and extract quantitative information that physicians can interpret, many analysis algorithms have been developed. Any process of analysis always consists of a first step of segmenting some particular structure. In medical imaging, structures are not always well defined and suffer from noise artifacts thus, ordinary segmentation methods are not well suited. The ones that seem to give better results are those based on deformable models. Nevertheless, despite their capability of mixing image features together with smoothness constraints that may compensate for image irregularities, these are naturally local methods, i. e., each node of the active contour evolve taking into account information about its neighbors and some other weak constraints about flexibility and smoothness, but not about the global shape that they should find. Due to the fact that structures to be segmented are the same for all cases but with some inter and intra-patient variation, the incorporation of a priori knowledge about shape in the segmentation method will provide robustness to it. Active Shape Models is an algorithm based on the creation of a shape model called Point Distribution Model. It performs a segmentation using only shapes similar than those previously learned from a training set that capture most of the variation presented by the structure. This algorithm works by updating shape nodes along a normal segment which often can be too restrictive. For this reason we propose a generalization of this algorithm that we call Generalized Active Shape Models and fully integrates the a priori knowledge given by the Point Distribution Model with deformable models or any other appropriate segmentation method. Two different applications to cardiac imaging of this generalized method are developed and promising results are shown. |
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CVC (UAB) |
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Master's thesis |
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IAM; |
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IAM @ iam @ Gar2004 |
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1513 |
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Author |
A. Martinez; Jordi Vitria |
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Title |
From visual scanning to object recognition |
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Year |
1996 |
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CVC Technical Report #17 |
Abbreviated Journal |
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CVC (UAB) |
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OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ MaV1996b |
Serial |
528 |
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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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Volume |
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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Master's thesis |
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Bellaterra 01893, Barcelona, Spain |
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IAM |
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no |
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IAM @ iam @ Ver2010 |
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1661 |
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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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Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
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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800 |
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MV;SIAI |
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no |
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Call Number |
Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
Serial |
1348 |
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Author |
Xavier Baro |
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Title |
Fast traffic sign detection on gray-scale images |
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Report |
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2005 |
Publication |
CVC Technical Report #82 |
Abbreviated Journal |
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CVC (UAB) |
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OR;HuPBA;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ Bar2005 |
Serial |
550 |
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Author |
Sergio Escalera |
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Title |
Fast traffic model matching and recognition on gray-scale images |
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2005 |
Publication |
CVC Technical Report #84 |
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MILAB; HuPBA |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ Esc2005 |
Serial |
572 |
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Author |
Murad Al Haj |
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Title |
Face Detection in Color Images Using Primitive Shape Features |
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2008 |
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CVC Technical Report #118 |
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Bellaterra (Spain) |
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ISE |
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no |
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Admin @ si @ AlH2008 |
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945 |
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Author |
Francisco Javier Orozco |
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Title |
Face Detection and Tracking for Facial Expression Analysis |
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2007 |
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CVC Technical Report #103 |
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no |
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Admin @ si @ Oro2007 |
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818 |
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Author |
Agata Lapedriza |
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Title |
Face Classification using External Face Features |
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Year |
2005 |
Publication |
CVC Technical Report #83 |
Abbreviated Journal |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ Lap2005 |
Serial |
551 |
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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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Keywords |
Computer vision, eye-tracking, gaussian process, feature selection, optical flow |
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Abstract |
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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Address |
Bellaterra |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Editor |
Fernando Vilariño |
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MV |
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no |
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Call Number |
Admin @ si @ Fer2012; IAM @ iam @ Fer2012 |
Serial |
2165 |
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Author |
J.R. Serra; J.B. Subirana |
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Title |
Extraccion de estructuras interesantes en imagenes |
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1996 |
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CVC Tecnical Report #14 |
Abbreviated Journal |
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CVC (UAB) |
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Admin @ si @ SeS1996c |
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216 |
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Author |
G. Tortajada |
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Title |
Extraccio interactiva de patrocinadors d’anuncis en revistes utilitzant tecniques de Visio per Computador |
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2000 |
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CVC Technical Report #42 |
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Admin @ si @ Tor2000b |
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343 |
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Author |
Maria Vanrell |
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Title |
Exploring the space of behaviour of a texture perception algorithm |
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1997 |
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CVC Technical Report #12 |
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CVC (UAB) |
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no |
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CAT @ cat @ Van1997 |
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523 |
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