| Records |
| Author |
F. Pla; Petia Radeva; Jordi Vitria |
| Title |
Non-parametric distance-based classification techniques and their applications |
Type |
Journal |
| Year |
2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
Abbreviated Journal |
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| Volume |
11 |
Issue  |
3-4 |
Pages |
223–225 |
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Springer |
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| Notes |
OR;MILAB;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PRV2008 |
Serial |
999 |
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| Author |
Arnau Ramisa; Alex Goldhoorn; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras |
| Title |
Combining Invariant Features and the ALV Homing Method for Autonomous Robot Navigation Based on Panoramas |
Type |
Journal Article |
| Year |
2011 |
Publication |
Journal of Intelligent and Robotic Systems |
Abbreviated Journal |
JIRC |
| Volume |
64 |
Issue |
3-4 |
Pages |
625-649 |
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| Abstract |
Biologically inspired homing methods, such as the Average Landmark Vector, are an interesting solution for local navigation due to its simplicity. However, usually they require a modification of the environment by placing artificial landmarks in order to work reliably. In this paper we combine the Average Landmark Vector with invariant feature points automatically detected in panoramic images to overcome this limitation. The proposed approach has been evaluated first in simulation and, as promising results are found, also in two data sets of panoramas from real world environments. |
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Springer Netherlands |
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| ISSN |
0921-0296 |
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| Notes |
RV;ADAS |
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no |
| Call Number |
Admin @ si @ RGA2011 |
Serial |
1728 |
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| Author |
J. Pladellorens; M.J. Yzuel; J. Castell; Joan Serrat |
| Title |
Calculo automatico del volumen del ventriculo izquierdo. Comparacion con expertos. |
Type |
Journal |
| Year |
1993 |
Publication |
Optica Pura y Aplicada. |
Abbreviated Journal |
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| Volume |
26 |
Issue |
3 |
Pages |
685–691 |
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ADAS |
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no |
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ADAS @ adas @ PYC1993 |
Serial |
149 |
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| Author |
A. Pujol; Juan J. Villanueva |
| Title |
A supervised Modification of the Hausdorff distance for visual shape classification |
Type |
Journal |
| Year |
2002 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
Abbreviated Journal |
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| Volume |
16 |
Issue |
3 |
Pages |
349-359 |
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| Abstract |
(IF: 0.359) |
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ISE |
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no |
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PuV2002 |
Serial |
273 |
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| Author |
Josep Llados; Gemma Sanchez |
| Title |
Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach |
Type |
Journal |
| Year |
2004 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
Abbreviated Journal |
IJPRAI |
| Volume |
18 |
Issue |
3 |
Pages |
455–473 |
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| Notes |
DAG; IF: 0.588 |
Approved |
no |
| Call Number |
DAG @ dag @ LlS2004 |
Serial |
445 |
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| Author |
Oriol Pujol; Petia Radeva |
| Title |
Texture Segmentation by Statistical Deformable Models |
Type |
Journal |
| Year |
2004 |
Publication |
International Journal of Image and Graphics |
Abbreviated Journal |
IJIG |
| Volume |
4 |
Issue |
3 |
Pages |
433-452 |
| Keywords |
Texture segmentation, parametric active contours, statistic snakes |
| Abstract |
Deformable models have received much popularity due to their ability to include high-level knowledge on the application domain into low-level image processing. Still, most proposed active contour models do not sufficiently profit from the application information and they are too generalized, leading to non-optimal final results of segmentation, tracking or 3D reconstruction processes. In this paper we propose a new deformable model defined in a statistical framework to segment objects of natural scenes. We perform a supervised learning of local appearance of the textured objects and construct a feature space using a set of co-occurrence matrix measures. Linear Discriminant Analysis allows us to obtain an optimal reduced feature space where a mixture model is applied to construct a likelihood map. Instead of using a heuristic potential field, our active model is deformed on a regularized version of the likelihood map in order to segment objects characterized by the same texture pattern. Different tests on synthetic images, natural scene and medical images show the advantages of our statistic deformable model. |
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| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PuR2004a |
Serial |
505 |
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| Author |
Antonio Lopez; Ernest Valveny; Juan J. Villanueva |
| Title |
Real-time quality control of surgical material packaging by artificial vision |
Type |
Journal Article |
| Year |
2005 |
Publication |
Assembly Automation |
Abbreviated Journal |
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| Volume |
25 |
Issue |
3 |
Pages |
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| Abstract |
IF: 0.061) |
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| Notes |
ADAS;DAG |
Approved |
no |
| Call Number |
ADAS @ adas @ LVV2005 |
Serial |
552 |
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| Author |
A. Sanfeliu; Juan J. Villanueva |
| Title |
An approach of visual motion analysis |
Type |
Journal Article |
| Year |
2005 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
26 |
Issue |
3 |
Pages |
355–368 |
| Keywords |
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| Abstract |
IF: 1.138 |
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no |
| Call Number |
ISE @ ise @ SaV2005 |
Serial |
561 |
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| Author |
Jaume Amores; N. Sebe; Petia Radeva |
| Title |
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier |
Type |
Journal Article |
| Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
27 |
Issue |
3 |
Pages |
201–209 |
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| Notes |
ADAS;MILAB |
Approved |
no |
| Call Number |
ADAS @ adas @ ASR2006 |
Serial |
643 |
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| Author |
V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich |
| Title |
Adaptive Correlation Filters for Pattern Recognition |
Type |
Journal |
| Year |
2006 |
Publication |
Pattern Recognition and Image Analysis |
Abbreviated Journal |
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| Volume |
16 |
Issue |
3 |
Pages |
425-431 |
| Keywords |
Pattern recognition, Correlation filters, A adaptive filters |
| Abstract |
Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance. |
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ISE |
Approved |
no |
| Call Number |
ISE @ ise @ KMA2006a |
Serial |
673 |
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| Author |
A. Diplaros; N. Vlassis; Theo Gevers |
| Title |
A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation |
Type |
Journal |
| Year |
2007 |
Publication |
IEEE Transactions on Neural Networks |
Abbreviated Journal |
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| Volume |
18 |
Issue |
3 |
Pages |
798-808 |
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ISE |
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no |
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Admin @ si @ DVG2007 |
Serial |
947 |
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| Author |
Angel Sappa; Fadi Dornaika; Daniel Ponsa; David Geronimo; Antonio Lopez |
| Title |
An Efficient Approach to Onboard Stereo Vision System Pose Estimation |
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Journal Article |
| Year |
2008 |
Publication |
IEEE Transactions on Intelligent Transportation Systems |
Abbreviated Journal |
TITS |
| Volume |
9 |
Issue |
3 |
Pages |
476–490 |
| Keywords |
Camera extrinsic parameter estimation, ground plane estimation, onboard stereo vision system |
| Abstract |
This paper presents an efficient technique for estimating the pose of an onboard stereo vision system relative to the environment’s dominant surface area, which is supposed to be the road surface. Unlike previous approaches, it can be used either for urban or highway scenarios since it is not based on a specific visual traffic feature extraction but on 3-D raw data points. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact 2-D representation of the original 3-D data points is computed. Then, a RANdom SAmple Consensus (RANSAC) based least-squares approach is used to fit a plane to the road. Fast RANSAC fitting is obtained by selecting points according to a probability function that takes into account the density of points at a given depth. Finally, stereo camera height and pitch angle are computed related to the fitted road plane. The proposed technique is intended to be used in driverassistance systems for applications such as vehicle or pedestrian detection. Experimental results on urban environments, which are the most challenging scenarios (i.e., flat/uphill/downhill driving, speed bumps, and car’s accelerations), are presented. These results are validated with manually annotated ground truth. Additionally, comparisons with previous works are presented to show the improvements in the central processing unit processing time, as well as in the accuracy of the obtained results. |
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IEEE |
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ADAS |
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no |
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ADAS @ adas @ SDP2008 |
Serial |
1000 |
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| Author |
Jaume Garcia; Debora Gil; Sandra Pujades; Francesc Carreras |
| Title |
Valoracion de la Funcion del Ventriculo Izquierdo mediante Modelos Regionales Hiperparametricos |
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Journal Article |
| Year |
2008 |
Publication |
Revista Española de Cardiologia |
Abbreviated Journal |
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| Volume |
61 |
Issue |
3 |
Pages |
79 |
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| Abstract |
La mayoría de la enfermedades cardiovasculares afectan a las propiedades contráctiles de la banda ventricular helicoidal. Esto se refleja en una variación del comportamiento normal de la función ventricular. Parámetros locales tales como los strains, o la deformación experimentada por el tejido, son indicadores capaces de detectar anomalías funcionales en territorios específicos. A menudo, dichos parámetros son considerados de forma separada. En este trabajo presentamos un marco computacional (el Dominio Paramétrico Normalizado, DPN) que permite integrarlos en hiperparámetros funcionales y estudiar sus rangos de normalidad. Dichos rangos permiten valorar de forma objetiva la función regional de cualquier nuevo paciente. Para ello, consideramos secuencias de resonancia magnética etiquetada a nivel basal, medio y apical. Los hiperparámetros se obtienen a partir del movimiento intramural del VI estimado mediante el método Harmonic Phase Flow. El DPN se define a partir de en una parametrización del Ventrículo Izquierdo (VI) en sus coordenadas radiales y circunferencial basada en criterios anatómicos. El paso de los hiperparámetros al DPN hace posible la comparación entre distintos pacientes. Los rangos de normalidad se definen mediante análisis estadístico de valores de voluntarios sanos en 45 regiones del DPN a lo largo de 9 fases sistólicas. Se ha usado un conjunto de 19 (14 H; E: 30.7±7.5) voluntarios sanos para crear los patrones de normalidad y se han validado usando 2 controles sanos y 3 pacientes afectados de contractilidad global reducida. Para los controles los resultados regionales se han ajustado dentro de la normalidad, mientras que para los pacientes se han obtenido valores anormales en las zonas descritas, localizando y cuantificando así el diagnóstico empírico. |
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IAM; |
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no |
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IAM @ iam @ GRP2008 |
Serial |
1032 |
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| Author |
Sergio Escalera; Oriol Pujol; Petia Radeva |
| Title |
Separability of Ternary Codes for Sparse Designs of Error-Correcting Output Codes |
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Journal Article |
| Year |
2009 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
30 |
Issue |
3 |
Pages |
285–297 |
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| Abstract |
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we present a new formulation of the ternary ECOC distance and the error-correcting capabilities in the ternary ECOC framework. Based on the new measure, we stress on how to design coding matrices preventing codification ambiguity and propose a new Sparse Random coding matrix with ternary distance maximization. The results on the UCI Repository and in a real speed traffic categorization problem show that when the coding design satisfies the new ternary measures, significant performance improvement is obtained independently of the decoding strategy applied. |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ EPR2009a |
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1153 |
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| Author |
C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
| Title |
Psychophysical measurements to model inter-colour regions of colour-naming space |
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Journal Article |
| Year |
2009 |
Publication |
Journal of Imaging Science and Technology |
Abbreviated Journal |
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| Volume |
53 |
Issue |
3 |
Pages |
031106 (8 pages) |
| Keywords |
image processing; Analysis |
| Abstract |
JCR Impact Factor 2009: 0.391
In this paper, we present a fuzzy-set of parametric functions which segment the CIE lab space into eleven regions which correspond to the group of common universal categories present in all evolved languages as identified by anthropologists and linguists. The set of functions is intended to model a color-name assignment task by humans and differs from other models in its emphasis on the inter-color boundary regions, which were explicitly measured by means of a psychophysics experiment. In our particular implementation, the CIE lab space was segmented into eleven color categories using a Triple Sigmoid as the fuzzy sets basis, whose parameters are included in this paper. The model’s parameters were adjusted according to the psychophysical results of a yes/no discrimination paradigm where observers had to choose (English) names for isoluminant colors belonging to regions in-between neighboring categories. These colors were presented on a calibrated CRT monitor (14-bit x 3 precision). The experimental results show that inter- color boundary regions are much less defined than expected and color samples other than those near the most representatives are needed to define the position and shape of boundaries between categories. The extended set of model parameters is given as a table. |
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CIC |
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no |
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CAT @ cat @ PBV2009 |
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1157 |
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