| Records |
Author  |
Alicia Fornes |
| Title |
Analysis of Old Handwritten Musical Scores |
Type |
Report |
| Year |
2005 |
Publication |
CVC Technical Report #88 |
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CVC (UAB) |
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no |
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DAG @ dag @ For2005 |
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575 |
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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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Thesis |
Master's thesis |
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DAG |
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no |
| Call Number |
Admin @ si @ Dut2010 |
Serial |
1351 |
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| Author |
Anna Salvatella |
| Title |
On texture description |
Type |
Report |
| Year |
2001 |
Publication |
CVC Technical Report #55 |
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CVC (UAB) |
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no |
| Call Number |
Admin @ si @ Sal2001 |
Serial |
161 |
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| Author |
Anna Salvatella; Maria Vanrell |
| Title |
Towards a texture representation database |
Type |
Report |
| Year |
2002 |
Publication |
CVC Technical Report #60 |
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CVC (UAB) |
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CIC |
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no |
| Call Number |
CAT @ cat @ SaV2002 |
Serial |
526 |
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| Author |
Anton Cervantes |
| Title |
Biometric Newborn Identification |
Type |
Report |
| Year |
2005 |
Publication |
CVC Technical Report #87 |
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CVC (UAB) |
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no |
| Call Number |
Admin @ si @ Cer2005 |
Serial |
574 |
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| Author |
Antonio Esteban Lansaque |
| Title |
3D reconstruction and recognition using structured ligth |
Type |
Report |
| Year |
2014 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
179 |
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| Abstract |
This work covers the problem of 3D reconstruction, recognition and 6DOF pose estimation. The goal of this project is to reconstruct a 3D scene and to align an object model of the industrial pieces onto the reconstructed scene. The reconstruction algorithm is based on stereo techniques and the recognition algorithm is based on SHOT descriptors computed on a set of uniform keypoints. Correspondences are used to estimate a first 6DOF transformation that maps the model onto the scene and then ICP algorithm is used to refine the transformation. In order to check the effectiveness of the proposed algorithm, several experiments were performed. These experiments were conducted on a lab environment in order to get results under the same conditions in all of them. Although obtained results are not real time results, the proposed algorithm ends up with high rates of object recognition. |
| Address |
UAB; September 2014 |
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Thesis |
Master's thesis |
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| Notes |
IAM; 600.075 |
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no |
| Call Number |
Admin @ si @ Est2014 |
Serial |
2578 |
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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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Thesis |
Master's thesis |
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| Notes |
HUPBA;MILAB |
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no |
| Call Number |
Admin @ si @ Her2010 |
Serial |
1347 |
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| Author |
Antonio Lopez; Felipe Lumbreras; Joan Serrat |
| Title |
Efficient computation of local creaseness |
Type |
Report |
| Year |
1997 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
15 |
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CVC, Bellaterra (Spain) |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ LLS1997b |
Serial |
527 |
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| Author |
Antonio Lopez; Joan Serrat |
| Title |
Ridge/Valley-like structures: Creases, separatrices and drainage patterns |
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Report |
| Year |
1997 |
Publication |
CVC Technical Report #21 |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ LoS1997 |
Serial |
524 |
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| Author |
Antonio Lopez; Joan Serrat |
| Title |
Ridges and Valleys in Image Analysis |
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Report |
| Year |
1998 |
Publication |
CVC Technical Report #22 |
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CVC (UAB) |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ LoS1998 |
Serial |
533 |
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| Author |
Ariel Amato |
| Title |
Multiple Camera Calibration for Trajectories Tracking |
Type |
Report |
| Year |
2007 |
Publication |
CVC Technical Report #112 |
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ISE |
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no |
| Call Number |
Admin @ si @ Ama2007a |
Serial |
824 |
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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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08193 Bellaterra, Barcelona (Spain) |
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IAM; |
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no |
| Call Number |
IAM @ iam @ Her2005 |
Serial |
1544 |
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| Author |
Aura Hernandez-Sabate; Debora Gil; Petia Radeva |
| Title |
A Deterministic-Statistical Strategy for Adventitia Segmentation in IVUS images |
Type |
Report |
| Year |
2005 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
89 |
Pages |
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| Abstract |
A useful tool for some specific studies in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of luminal (inner) and media-adventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts and blurred signal response due to ultrasound physical properties troubles automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. |
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IAM; MILAB |
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no |
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IAM @ iam @ HGR2005a |
Serial |
1548 |
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| Author |
Bogdan Raducanu; Jordi Vitria |
| Title |
A Robust Particle Filter-based Face Tracker Using a Combination of Color and Geometric Information |
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Report |
| Year |
2005 |
Publication |
CVC Technical Report #90 |
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CVC (UAB) |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ RaV2005c |
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617 |
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| Author |
C. Cortes |
| Title |
Definicio d´un sensor de visio artificial per a l´ajust automatic de tintes en la impressio de pape |
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Report |
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2001 |
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CVC Technical Report #53 |
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Admin @ si @ Cor2001 |
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184 |
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