Records |
Author |
Ekain Artola |
Title |
Human Attention Map Prediction Combining Visual Features |
Type |
Report |
Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
160 |
Issue |
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Thesis |
Bachelor's thesis |
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no |
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Admin @ si @ Art2010 |
Serial |
1352 |
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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 |
Issue |
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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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Notes |
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Approved |
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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Master's thesis |
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ISE |
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no |
Call Number |
Admin @ si @ Xio2010 |
Serial |
1356 |
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Author |
Fernando Barrera; Felipe Lumbreras; Angel Sappa |
Title |
Multimodal Template Matching based on Gradient and Mutual Information using Scale-Space |
Type |
Conference Article |
Year |
2010 |
Publication |
17th IEEE International Conference on Image Processing |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
2749–2752 |
Keywords |
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Abstract |
This paper presents the combined use of gradient and mutual information for infrared and intensity templates matching. We propose to joint: (i) feature matching in a multiresolution context and (ii) information propagation through scale-space representations. Our method consists in combining mutual information with a shape descriptor based on gradient, and propagate them following a coarse-to-fine strategy. The main contributions of this work are: to offer a theoretical formulation towards a multimodal stereo matching; to show that gradient and mutual information can be reinforced while they are propagated between consecutive levels; and to show that they are valid cost functions in multimodal template matchings. Comparisons are presented showing the improvements and viability of the proposed approach. |
Address |
Hong-Kong |
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Edition |
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ISSN |
1522-4880 |
ISBN |
978-1-4244-7992-4 |
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Conference |
ICIP |
Notes |
ADAS |
Approved |
no |
Call Number |
ADAS @ adas @ BLS2010 |
Serial |
1358 |
Permanent link to this record |
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Author |
Mohammad Rouhani; Angel Sappa |
Title |
A Fast accurate Implicit Polynomial Fitting Approach |
Type |
Conference Article |
Year |
2010 |
Publication |
17th IEEE International Conference on Image Processing |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1429–1432 |
Keywords |
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Abstract |
This paper presents a novel hybrid approach that combines state of the art fitting algorithms: algebraic-based and geometric-based. It consists of two steps; first, the 3L algorithm is used as an initialization and then, the obtained result, is improved through a geometric approach. The adopted geometric approach is based on a distance estimation that avoids costly search for the real orthogonal distance. Experimental results are presented as well as quantitative comparisons. |
Address |
Hong-Kong |
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Edition |
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ISSN |
1522-4880 |
ISBN |
978-1-4244-7992-4 |
Medium |
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Expedition |
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Conference |
ICIP |
Notes |
ADAS |
Approved |
no |
Call Number |
ADAS @ adas @ RoS2010b |
Serial |
1359 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
Title |
Person-specific face shape estimation under varying head pose from single snapshots |
Type |
Conference Article |
Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
3496–3499 |
Keywords |
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Abstract |
This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The proposed approach is based on maximizing a likelihood measure associated with a learned face subspace, which is carried out by a stochastic and genetic optimizer. We conducted the experiments on a subset of Honda Video Database showing the feasibility and robustness of the proposed approach. For this reason, our approach could lend itself nicely to complex frameworks involving 3D face tracking and face gesture recognition in monocular videos. |
Address |
Istanbul, Turkey |
Corporate Author |
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Edition |
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ISSN |
1051-4651 |
ISBN |
978-1-4244-7542-1 |
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Area |
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Conference |
ICPR |
Notes |
OR;MV |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ DoR2010b |
Serial |
1361 |
Permanent link to this record |
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Author |
Antonio Hernandez; Miguel Reyes; Sergio Escalera; Petia Radeva |
Title |
Spatio-Temporal GrabCut human segmentation for face and pose recovery |
Type |
Conference Article |
Year |
2010 |
Publication |
IEEE International Workshop on Analysis and Modeling of Faces and Gestures |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
33–40 |
Keywords |
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Abstract |
In this paper, we present a full-automatic Spatio-Temporal GrabCut human segmentation methodology. GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model for seed initialization. Spatial information is included by means of Mean Shift clustering whereas temporal coherence is considered by the historical of Gaussian Mixture Models. Moreover, human segmentation is combined with Shape and Active Appearance Models to perform full face and pose recovery. Results over public data sets as well as proper human action base show a robust segmentation and recovery of both face and pose using the presented methodology. |
Address |
San Francisco; CA; USA; June 2010 |
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Series Issue |
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Edition |
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ISSN |
2160-7508 |
ISBN |
978-1-4244-7029-7 |
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Conference |
AMFG |
Notes |
MILAB;HUPBA |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ HRE2010 |
Serial |
1362 |
Permanent link to this record |
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Author |
Miguel Angel Bautista; Xavier Baro; Oriol Pujol; Petia Radeva; Jordi Vitria; Sergio Escalera |
Title |
Compact Evolutive Design of Error-Correcting Output Codes |
Type |
Conference Article |
Year |
2010 |
Publication |
Supervised and Unsupervised Ensemble Methods and their Applications in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
119-128 |
Keywords |
Ensemble of Dichotomizers; Error-Correcting Output Codes; Evolutionary optimization |
Abstract |
The classication of large number of object categories is a challenging trend in the Machine Learning eld. In literature, this is often addressed using an ensemble of classiers. In this scope, the Error-Correcting Output Codes framework has demonstrated to be a powerful tool for the combination of classiers. However, most of the state-of-the-art ECOC approaches use a linear or exponential number of classiers, making the discrimination of a large number of classes unfeasible. In this paper, we explore and propose a minimal design of ECOC in terms of the number of classiers. Evolutionary computation is used for tuning the parameters of the classiers and looking for the best Minimal ECOC code conguration. The results over several public UCI data sets and a challenging multi-class Computer Vision problem show that the proposed methodology obtains comparable and even better results than state-of-the-art ECOC methodologies with far less number of dichotomizers. |
Address |
Barcelona (Spain) |
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Conference |
SUEMA |
Notes |
OR;MILAB;HUPBA;MV |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ BBP2010 |
Serial |
1363 |
Permanent link to this record |
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Author |
Francesco Ciompi; Oriol Pujol; Petia Radeva |
Title |
A meta-learning approach to Conditional Random Fields using Error-Correcting Output Codes |
Type |
Conference Article |
Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
710–713 |
Keywords |
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Abstract |
We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a classification problem where margin classifiers are used. The set of state transitions for the edge potential is treated as a set of different classes, thus defining a multi-class learning problem. The Error-Correcting Output Codes (ECOC) technique is used to deal with the multi-class problem. Furthermore, the point defined by the combination of margin classifiers in the ECOC space is interpreted in a probabilistic manner, and the obtained distance values are then converted into potential values. The proposed model exhibits very promising results when applied to two real detection problems. |
Address |
Istanbul;Turkey |
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Edition |
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ISSN |
1051-4651 |
ISBN |
978-1-4244-7542-1 |
Medium |
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Area |
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Expedition |
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Conference |
ICPR |
Notes |
MILAB;HUPBA |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ CPR2010a |
Serial |
1365 |
Permanent link to this record |
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Author |
Jose Seabra; F. Javier Sanchez; Francesco Ciompi; Petia Radeva |
Title |
Ultrasonographic Plaque Characterization using a Rayleigh Mixture Model |
Type |
Conference Article |
Year |
2010 |
Publication |
7th IEEE International Symposium on Biomedical Imaging |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1–4 |
Keywords |
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Abstract |
From Nano to Macro
A correct modelling of tissue morphology is determinant for the identification of vulnerable plaques. This paper aims at describing the plaque composition by means of a Rayleigh Mixture Model applied to ultrasonic data. The effectiveness of using a mixture of distributions is established through synthetic and real ultrasonic data samples. Furthermore, the proposed mixture model is used in a plaque classification problem in Intravascular Ultrasound (IVUS) images of coronary plaques. A classifier tested on a set of 67 in-vitro plaques, yields an overall accuracy of 86% and sensitivity of 92%, 94% and 82%, for fibrotic, calcified and lipidic tissues, respectively. These results strongly suggest that different plaques types can be distinguished by means of the coefficients and Rayleigh parameters of the mixture distribution. |
Address |
Rotterdam (Netherlands) |
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Edition |
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ISSN |
1945-7928 |
ISBN |
978-1-4244-4125-9 |
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Conference |
ISBI |
Notes |
MILAB |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ SSC2010 |
Serial |
1366 |
Permanent link to this record |
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Author |
Neus Salvatella; E Fernandez-Nofrerias; Francesco Ciompi; Oriol Rodriguez-Leor; Xavier Carrillo; R. Hemetsberger; Petia Radeva; J. Mauri; A. Bayes |
Title |
Canvis de volum a la arteria radial despres de la administracio de dos tractaments vasodilatadors. Avaluacio mitjançant ecografia intravascular |
Type |
Conference Article |
Year |
2010 |
Publication |
22nd Congres Societat Catalana de Cardiologia, |
Abbreviated Journal |
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Issue |
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Pages |
179 |
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Abstract |
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Address |
Barcelona (Spain) |
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Notes |
MILAB |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ SFC2010a |
Serial |
1367 |
Permanent link to this record |
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Author |
Oriol Rodriguez-Leor; R. Hemetsberger; Francesco Ciompi; E Fernandez-Nofrerias; Angel Serrano; M. Bernet; Petia Radeva; J. Mauri; A. Bayes |
Title |
Caracteritzacio automatica de la placa mitjançant analisis del espectre de radiofreqüencia en estudi de ecografia intracoronaria: resultat de la fusio de dades invivo i exvivo |
Type |
Conference Article |
Year |
2010 |
Publication |
22nd Congres Societat Catalana de Cardiologia, |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
131 |
Keywords |
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Abstract |
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Address |
Barcelona (Spain) |
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Notes |
MILAB |
Approved |
no |
Call Number |
BCNPCL @ bcnpcl @ RHC2010 |
Serial |
1368 |
Permanent link to this record |
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Author |
David Geronimo; Antonio Lopez |
Title |
Deteccion de Peatones para Sistemas Avanzados de Asistencia al Conductor |
Type |
Miscellaneous |
Year |
2010 |
Publication |
UAB Divulga |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
Los sistemas de asistencia al conductor, y particularmente los sistemas de protección de peatones, representan uno de los campos de investigación más activos dedicados a la mejora de la seguridad vial. El mayor desafío es el desarrollo de sistemas a bordo fiables de detección de peatones. En esta revisión del estado de la técnica de la detección de peatones, se divide el problema en diferentes etapas, cada una con responsabilidades propias dentro del sistema. Esta división facilita el posterior análisis y discusión de cada uno de los métodos en la literatura, favoreciendo la comparación entre ellos. Finalmente se discuten los temas más importantes de este campo poniendo especial énfasis en las necesidades actuales y los desafíos futuros. |
Address |
Bellaterra (Catalonia), Spain |
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Notes |
spreading;ADAS |
Approved |
no |
Call Number |
ADAS @ adas @ GeL2010a |
Serial |
1414 |
Permanent link to this record |