| Records |
| Author |
David Geronimo |
| Title |
Model Features and Horizon Line Estimation for Pedestrian Detection in Advanced Driver Assistance Systems |
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Report |
| Year |
2006 |
Publication |
CVC Technical Report #98 |
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CVC (UAB) |
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ADAS |
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no |
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ADAS @ adas @ Ger2006 |
Serial |
737 |
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| Author |
Mohammad Rouhani |
| Title |
3D Data Fitting and Tracking for Real Time Applications |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
138 |
Issue |
138 |
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Barcelona, Spain |
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Master's thesis |
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invisible;ADAS |
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no |
| Call Number |
Admin @ si @ Rou2009 |
Serial |
1150 |
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| Author |
Eduard Vazquez |
| Title |
Distribution Characterization using Topological Features. Application to Colour Image Processing |
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Report |
| Year |
2007 |
Publication |
CVC Technical Report # 107 |
Abbreviated Journal |
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no |
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Admin @ si @ Vaz2009 |
Serial |
1254 |
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| Author |
Marc Serra |
| Title |
Estimating Intrinsic Images from Physical and Categorical Color Cues |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
151 |
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Master's thesis |
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CIC |
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no |
| Call Number |
Admin @ si @ Ser2010 |
Serial |
1345 |
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| Author |
Ahmed Mounir Gad |
| Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
152 |
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Master's thesis |
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no |
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Admin @ si @ Mou2010 |
Serial |
1346 |
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| Author |
Antonio Hernandez |
| Title |
Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
153 |
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Master's thesis |
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HUPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ Her2010 |
Serial |
1347 |
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| Author |
Anjan Dutta |
| Title |
Symbol Spotting in Graphical Documents by Serialized Subgraph Matching |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
159 |
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Master's thesis |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ Dut2010 |
Serial |
1351 |
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| Author |
David Fernandez |
| Title |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
161 |
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Master's thesis |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ Fer2010b |
Serial |
1353 |
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| Author |
Jon Almazan |
| Title |
Deforming the Blurred Shape Model for Shape Description and Recognition |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
163 |
Issue |
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Master's thesis |
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no |
| Call Number |
Admin @ si @ Alm2010 |
Serial |
1354 |
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| Author |
Nataliya Shapovalova |
| Title |
On Importance of Interaction and Context |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
155 |
Issue |
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Master's thesis |
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ISE |
Approved |
no |
| Call Number |
Admin @ si @ Sha2010 |
Serial |
1355 |
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| Author |
Zhanwu Xiong |
| Title |
A Pompd Model for Active Camera Control |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
156 |
Issue |
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Pages |
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Thesis |
Master's thesis |
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ISE |
Approved |
no |
| Call Number |
Admin @ si @ Xio2010 |
Serial |
1356 |
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| Author |
Jaume Garcia |
| Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
Type |
Report |
| Year |
2004 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
78 |
Pages |
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| Keywords |
Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
| 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. |
| Address |
CVC (UAB) |
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Thesis |
Master's thesis |
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| Notes |
IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ Gar2004 |
Serial |
1513 |
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| Author |
Aura Hernandez-Sabate |
| Title |
Automatic adventitia segmentation in IntraVascular UltraSound images |
Type |
Report |
| Year |
2005 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
85 |
Pages |
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| Abstract |
A usual tool in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of lumen-intima, intima-media and media-adventitia vessel borders is the main activity of physicians in the process of plaque quantification. Large variety in vessel border descriptors, as well as, shades, artifacts and blurred response due to ultrasound physical properties troubles automated media-adventitia segmentation. This experimental work presents a solution to such a complex problem. The process blends advanced anisotropic filtering operators and statistic classification techniques, achieving an efficient vessel border modelling strategy. First of all, we introduce the theoretic base of the method. After that, we show the steps of the algorithm, validating the method with statistics that show that the media-adventitia border detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. Finally, we present a little Matlab application to the automatic media-adventitia border. |
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Master's thesis |
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Place of Publication |
08193 Bellaterra, Barcelona (Spain) |
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IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ Her2005 |
Serial |
1544 |
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| Author |
Patricia Marquez |
| Title |
Conditions Ensuring Accuracy of Local Optical Flow Schemes |
Type |
Report |
| Year |
2010 |
Publication |
CVC Tehcnical Report |
Abbreviated Journal |
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| Volume |
157 |
Issue |
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| Abstract |
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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Master's thesis |
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Place of Publication |
Bellaterra 08193, Barcelona, Spain |
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IAM; |
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no |
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IAM @ iam @ Mar2010 |
Serial |
1582 |
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| Author |
Ferran Poveda |
| Title |
Visualització i interpretació tridimensional de l’arquitectura de les fibres musculars del miocardi |
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Report |
| Year |
2009 |
Publication |
Master en Tecnologies Multimedia |
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Master's thesis |
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08193 Bellaterra, Barcelona (Spain) |
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IAM; |
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no |
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IAM @ iam @ Pov2009 |
Serial |
1625 |
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