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Author (down) Oriol Pujol; Petia Radeva edit  doi
openurl 
  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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  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2004a Serial 505  
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Author (down) Oriol Pujol; Petia Radeva edit  openurl
  Title Solving Particularization with Supervised Clustering Competition Scheme Type Book Chapter
  Year 2005 Publication Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 11–18 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Estoril (Portugal)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2005b Serial 557  
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Author (down) Oriol Pujol; Petia Radeva edit  openurl
  Title On the assessment of texture descriptors in intravascular ultrasound images: A boosting approach to a feasible plaque classification Type Book Chapter
  Year 2005 Publication Plaque Imaging: Pixel to Molecular Level, IOS Press, J. Suri et al. (Eds.), 113: 276–299, ISBN: 1–58603–516–9 Abbreviated Journal  
  Volume Issue Pages  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2005a Serial 563  
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Author (down) Oriol Pujol; Petia Radeva edit  openurl
  Title Optimal extension of Error Correcting Output Codes Type Miscellaneous
  Year 2006 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Perpignan (France)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPR2006d Serial 695  
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Author (down) Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; E. Fernandez; V. Valle; Petia Radeva edit  openurl
  Title Automatic segmentation and characterization of IVUS images by texture analysis Type Miscellaneous
  Year 2004 Publication European Society of Cardiology Congress 2004 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Munich  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PRM2004 Serial 478  
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Author (down) Oriol Pujol; Misael Rosales; Petia Radeva; E Fernandez-Nofrerias edit  openurl
  Title Intravascular Ultrasound Images Vessel Characterization using AdaBoost Type Miscellaneous
  Year 2003 Publication Proceedings on FIMH Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Lyon, France  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PRR2003a Serial 400  
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Author (down) Oriol Pujol; Eloi Puertas; Carlo Gatta edit  doi
isbn  openurl
  Title Multi-scale Stacked Sequential Learning Type Conference Article
  Year 2009 Publication 8th International Workshop of Multiple Classifier Systems Abbreviated Journal  
  Volume 5519 Issue Pages 262–271  
  Keywords  
  Abstract One of the most widely used assumptions in supervised learning is that data is independent and identically distributed. This assumption does not hold true in many real cases. Sequential learning is the discipline of machine learning that deals with dependent data such that neighboring examples exhibit some kind of relationship. In the literature, there are different approaches that try to capture and exploit this correlation, by means of different methodologies. In this paper we focus on meta-learning strategies and, in particular, the stacked sequential learning approach. The main contribution of this work is two-fold: first, we generalize the stacked sequential learning. This generalization reflects the key role of neighboring interactions modeling. Second, we propose an effective and efficient way of capturing and exploiting sequential correlations that takes into account long-range interactions by means of a multi-scale pyramidal decomposition of the predicted labels. Additionally, this new method subsumes the standard stacked sequential learning approach. We tested the proposed method on two different classification tasks: text lines classification in a FAQ data set and image classification. Results on these tasks clearly show that our approach outperforms the standard stacked sequential learning. Moreover, we show that the proposed method allows to control the trade-off between the detail and the desired range of the interactions.  
  Address Reykjavik, Iceland  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02325-5 Medium  
  Area Expedition Conference MCS  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PPG2009 Serial 1260  
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Author (down) Oriol Pujol; Debora Gil; Petia Radeva edit   pdf
doi  openurl
  Title Fundamentals of Stop and Go active models Type Journal Article
  Year 2005 Publication Image and Vision Computing Abbreviated Journal  
  Volume 23 Issue 8 Pages 681-691  
  Keywords Deformable models; Geodesic snakes; Region-based segmentation  
  Abstract An efficient snake formulation should conform to the idea of picking the smoothest curve among all the shapes approximating an object of interest. In current geodesic snakes, the regularizing curvature also affects the convergence stage, hindering the latter at concave regions. In the present work, we make use of characteristic functions to define a novel geodesic formulation that decouples regularity and convergence. This term decoupling endows the snake with higher adaptability to non-convex shapes. Convergence is ensured by splitting the definition of the external force into an attractive vector field and a repulsive one. In our paper, we propose to use likelihood maps as approximation of characteristic functions of object appearance. The better efficiency and accuracy of our decoupled scheme are illustrated in the particular case of feature space-based segmentation.  
  Address  
  Corporate Author Thesis  
  Publisher Butterworth-Heinemann Place of Publication Newton, MA, USA Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0262-8856 ISBN Medium  
  Area Expedition Conference  
  Notes IAM;MILAB;HuPBA Approved no  
  Call Number IAM @ iam @ PGR2005 Serial 1629  
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Author (down) Oriol Pujol; David Rotger; Petia Radeva; O. Rodriguez; J. Mauri edit  openurl
  Title Near Real Time Plaque Segmentation of IVUS Type Miscellaneous
  Year 2003 Publication Proceedings of Computers in Cardiology Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Thessaloniki  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PRR2003b Serial 401  
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Author (down) Oriol Pujol; David Masip edit  doi
openurl 
  Title Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary Type Journal Article
  Year 2009 Publication IEEE Transactions on Pattern Analysis and Machine Intelligence Abbreviated Journal TPAMI  
  Volume 31 Issue 6 Pages 1140–1146  
  Keywords  
  Abstract This article introduces a novel binary discriminative learning technique based on the approximation of the non-linear decision boundary by a piece-wise linear smooth additive model. The decision border is geometrically defined by means of the characterizing boundary points – points that belong to the optimal boundary under a certain notion of robustness. Based on these points, a set of locally robust linear classifiers is defined and assembled by means of a Tikhonov regularized optimization procedure in an additive model to create a final lambda-smooth decision rule. As a result, a very simple and robust classifier with a strong geometrical meaning and non-linear behavior is obtained. The simplicity of the method allows its extension to cope with some of nowadays machine learning challenges, such as online learning, large scale learning or parallelization, with linear computational complexity. We validate our approach on the UCI database. Finally, we apply our technique in online and large scale scenarios, and in six real life computer vision and pattern recognition problems: gender recognition, intravascular ultrasound tissue classification, speed traffic sign detection, Chagas' disease severity detection, clef classification and action recognition using a 3D accelerometer data. The results are promising and this paper opens a line of research that deserves further attention  
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  Area Expedition Conference  
  Notes OR;HuPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ PuM2009 Serial 1252  
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Author (down) Oriol Pujol edit  openurl
  Title Model-based three dimensional interpolation of IVUS images Type Report
  Year 1999 Publication CVC Technical Report #27 Abbreviated Journal  
  Volume Issue Pages  
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  Address CVC (UAB)  
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  Area Expedition Conference  
  Notes HuPBA;MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ Puj1999 Serial 49  
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Author (down) Oriol Pujol edit  openurl
  Title A semi-Supervised Statistical Framework and Generative Snakes for IVUS Analysis Type Book Whole
  Year 2004 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
  Volume Issue Pages  
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  Address CVC (UAB), Bellaterra  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Petia Radeva  
  Language Summary Language Original Title  
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  Series Volume Series Issue Edition  
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  Area Expedition Conference  
  Notes HuPBA;MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ Puj2004 Serial 512  
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Author (down) Oriol Martinez edit  openurl
  Title Semantic Retrieval of Memory Color Content Type Report
  Year 2004 Publication CVC Technical Report #80 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address CVC (UAB)  
  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ 38047 Serial 508  
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Author (down) Onur Ferhat; Fernando Vilariño; F. Javier Sanchez edit  url
openurl 
  Title A cheap portable eye-tracker solution for common setups. Type Journal Article
  Year 2014 Publication Journal of Eye Movement Research Abbreviated Journal JEMR  
  Volume 7 Issue 3 Pages 1-10  
  Keywords  
  Abstract We analyze the feasibility of a cheap eye-tracker where the hardware consists of a single webcam and a Raspberry Pi device. Our aim is to discover the limits of such a system and to see whether it provides an acceptable performance. We base our work on the open source Opengazer (Zielinski, 2013) and we propose several improvements to create a robust, real-time system which can work on a computer with 30Hz sampling rate. After assessing the accuracy of our eye-tracker in elaborated experiments involving 12 subjects under 4 different system setups, we install it on a Raspberry Pi to create a portable stand-alone eye-tracker which achieves 1.42° horizontal accuracy with 3Hz refresh rate for a building cost of 70 Euros.  
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  Area Expedition Conference  
  Notes ;SIAI Approved no  
  Call Number Admin @ si @ FVS2014 Serial 2435  
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Author (down) Onur Ferhat; Fernando Vilariño edit   pdf
openurl 
  Title A Cheap Portable Eye-Tracker Solution for Common Setups Type Conference Article
  Year 2013 Publication 17th European Conference on Eye Movements Abbreviated Journal  
  Volume Issue Pages  
  Keywords Low cost; eye-tracker; software; webcam; Raspberry Pi  
  Abstract We analyze the feasibility of a cheap eye-tracker where the hardware consists of a single webcam and a Raspberry Pi device. Our aim is to discover the limits of such a system and to see whether it provides an acceptable performance. We base our work on the open source Opengazer (Zielinski, 2013) and we propose several improvements to create a robust, real-time system. After assessing the accuracy of our eye-tracker in elaborated experiments involving 18 subjects under 4 different system setups, we developed a simple game to see how it performs in practice and we also installed it on a Raspberry Pi to create a portable stand-alone eye-tracker which achieves 1.62° horizontal accuracy with 3 fps refresh rate for a building cost of 70 Euros.  
  Address Lund; Sweden; August 2013  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ECEM  
  Notes MV;SIAI Approved no  
  Call Number Admin @ si @ FeV2013 Serial 2374  
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