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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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2010 |
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CVC Technical Report |
Abbreviated Journal |
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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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MV;SIAI |
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Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
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1348 |
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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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2010 |
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CVC Technical Report |
Abbreviated Journal |
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164 |
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Rheumatoid arthritis; joint detection; X-ray; Van der Heijde score |
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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 @ iam @ Ver2010 |
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1661 |
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Author |
A. Martinez; Jordi Vitria |
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Title |
From visual scanning to object recognition |
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1996 |
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CVC Technical Report #17 |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV1996b |
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528 |
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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 |
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CVC Technical Report |
Abbreviated Journal |
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78 |
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Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
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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 @ iam @ Gar2004 |
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1513 |
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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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Admin @ si @ Rub2009 |
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2398 |
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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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Admin @ si @ Fer2010b |
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1353 |
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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 |
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 |
Ekain Artola |
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Title |
Human Attention Map Prediction Combining Visual Features |
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2010 |
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CVC Technical Report |
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160 |
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Bachelor's thesis |
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Admin @ si @ Art2010 |
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1352 |
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Author |
David Alcalde |
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Title |
Image classification in terms of rotation-invariant pattern matching |
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2003 |
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CVC Technical Report #73 |
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Admin @ si @ Alc2003 |
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518 |
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Author |
Yainuvis Socarras |
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Title |
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 |
Ivan Huerta |
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Title |
Image-Sequence Segmentation in Uncontrolled Environments |
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2007 |
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CVC Technical Report #115 |
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ISE @ ise @ Hue2007 |
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827 |
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M. Bressan |
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Title |
Independent modes of variation in Point Distribution models |
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2000 |
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CVC Technical Report #48 |
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Admin @ si @ Bre2000 |
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349 |
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Author |
M. Pros |
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Title |
Indexacio icònica amb 2D-String per al reconoixement de persones segons la seva vestimenta |
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2000 |
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CVC Technical Report #44 |
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345 |
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Author |
Josep Llados |
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Title |
Interpretacio de dibuixos linials fets a ma alçada mitjançant isomorfisme entre subgrafs i transformacio de Hough |
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1996 |
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CVC Technical Report #10 |
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DAG @ dag @ Lla1996 |
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Author |
Pau Baiget |
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Title |
Interpretation of Human Behavior in Image Sequences |
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2007 |
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CVC Technical Report #102 |
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Admin @ si @ Bai2007 |
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816 |
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