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X. Orriols; Andrew Willis; X. Binefa; David B. Cooper |
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Bayesian estimation of axial symmetries from partial data, a generative model approach |
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2000 |
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CVC Technical Report #49 |
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DAG @ dag @ OWB2000 |
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536 |
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Author |
Anton Cervantes |
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Title |
Biometric Newborn Identification |
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2005 |
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CVC Technical Report #87 |
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Admin @ si @ Cer2005 |
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574 |
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Author |
Ognjen Rudovic; Jordi Gonzalez |
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Title |
Building Temporal Templates for Human Behaviour Classification |
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2008 |
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CVC Technical Report #127 |
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Barcelona, Spain |
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ISE @ ise @ RuG 2008 |
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1147 |
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Author |
Ole Larsen; Petia Radeva; Enric Marti |
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Title |
Calculating the Bounds on the Optimal Parameters of Elasticity for a Snake |
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1994 |
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Technical Report |
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Aalborg University |
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Aalborg University, Laboratory of image Analysis. |
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Denmark |
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Aalborg University, Laboratory of image Analysis. |
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MILAB;IAM |
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IAM @ iam @ LRM1994 |
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1560 |
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Author |
David Guillamet |
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Title |
Color histogram classification using NMF |
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2001 |
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CVC Technical Report #57 |
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Admin @ si @ Gui2001 |
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98 |
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Author |
J.M. Sanchez; X. Binefa |
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Title |
Color normalization for digital video processing |
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1999 |
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CVC Technical Report #37 |
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Admin @ si @ SaB1999 |
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525 |
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Author |
Farshad Nourbakhsh |
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Title |
Colour logo recognition |
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2009 |
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CVC Technical Report |
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145 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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DAG |
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Admin @ si @ Nou2009 |
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2399 |
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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 |
David Augusto Rojas |
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Title |
Colouring Local Feature Detection for Matching |
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2009 |
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CVC Technical Report |
Abbreviated Journal |
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133 |
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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 @ Roj2009 |
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2392 |
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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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2011 |
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CVC Technical Report |
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165 |
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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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Bellaterra (Barcelona) |
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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 |
Patricia Marquez |
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Title |
Conditions Ensuring Accuracy of Local Optical Flow Schemes |
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2010 |
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CVC Tehcnical Report |
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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; |
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IAM @ iam @ Mar2010 |
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1582 |
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Author |
Javier Vazquez |
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Title |
Content-based Colour Space |
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2007 |
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CVC Technical Report #116 |
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Admin @ si @ Vaz2007b |
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828 |
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Author |
Karla Lizbeth Caballero |
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Title |
Coronary Plaque Classification using Intravascular Ultrasound Images and Radio Frequency Signals |
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2007 |
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CVC Technical Report #105 |
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Admin @ si @ Cab2007 |
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822 |
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Author |
Debora Gil; Petia Radeva |
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Curvature based Distance Maps |
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2003 |
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CVC Technical Report |
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70 |
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Computer Vision Center |
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IAM @ iam @ GIR2003a |
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1534 |
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Author |
Robert Benavente |
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Dealing with colour variability: application to a colour naming task |
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1999 |
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CVC Technical Report #32 |
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CAT @ cat @ Ben1999 |
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53 |
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