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Author | Xavier Perez Sala; Laura Igual; Sergio Escalera; Cecilio Angulo | ||||
Title | Uniform Sampling of Rotations for Discrete and Continuous Learning of 2D Shape Models | Type | Book Chapter | ||
Year | 2012 | Publication | Vision Robotics: Technologies for Machine Learning and Vision Applications | Abbreviated Journal | |
Volume | Issue | 2 | Pages | 23-42 | |
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Abstract | Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis. | ||||
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Publisher | IGI-Global | Place of Publication | Editor | ||
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Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ PIE2012 | Serial | 2064 | ||
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Author | Sergio Escalera; Josep Moya; Laura Igual; Veronica Violant; Maria Teresa Anguera | ||||
Title | Análisis Comportamental Automatizado de TDAH: la Influencia de la Variable Motivación | Type | Conference Article | ||
Year | 2012 | Publication | IPSI – Cosmocaixa, Jornadas "Empremtes del present, efectes en la psicoanàlisi, la cultura i la societat | Abbreviated Journal | |
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Area | Expedition | Conference | IPSI | ||
Notes | MILAB; HuPBA; OR | Approved | no | ||
Call Number | Admin @ si @ EMI2012b | Serial | 2065 | ||
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Author | Laura Igual; Joan Carles Soliva; Antonio Hernandez; Sergio Escalera; Oscar Vilarroya; Petia Radeva | ||||
Title | A Supervised Graph-cut Deformable Model for Brain MRI Segmentation. Deformation models: tracking, animation and applications | Type | Book Chapter | ||
Year | 2012 | Publication | Computational Vision and Biomechanics | Abbreviated Journal | |
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Publisher | Springer Netherlands | Place of Publication | Editor | ||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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ISSN | ISBN | 978-94-007-5445-4 | Medium | ||
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Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ ISH2012b | Serial | 2066 | ||
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Author | Theo Gevers; Arjan Gijsenij; Joost Van de Weijer; J.M. Geusebroek | ||||
Title | Color in Computer Vision: Fundamentals and Applications | Type | Book Whole | ||
Year | 2012 | Publication | Color in Computer Vision: Fundamentals and Applications | Abbreviated Journal | |
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Publisher | The Wiley-IS&T Series in Imaging Science and Technology | Place of Publication | Editor | ||
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ISSN | ISBN | 978-0-470-89084-4 | Medium | ||
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Notes | ALTRES;ISE | Approved | no | ||
Call Number | Admin @ si @ GGG2012a | Serial | 2068 | ||
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Author | Mario Hernandez; Joao Sanchez; Jordi Vitria | ||||
Title | Selected papers from Iberian Conference on Pattern Recognition and Image Analysis | Type | Book Whole | ||
Year | 2012 | Publication | Pattern Recognition | Abbreviated Journal | |
Volume | 45 | Issue | 9 | Pages | 3047-3582 |
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ISSN | 0031-3203 | ISBN | Medium | ||
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Notes | OR;MV | Approved | no | ||
Call Number | Admin @ si @ HSV2012 | Serial | 2069 | ||
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Author | Ernest Valveny; Robert Benavente; Agata Lapedriza; Miquel Ferrer; Jaume Garcia; Gemma Sanchez | ||||
Title | Adaptation of a computer programming course to the EXHE requirements: evaluation five years later | Type | Miscellaneous | ||
Year | 2012 | Publication | European Journal of Engineering Education | Abbreviated Journal | |
Volume | 37 | Issue | 3 | Pages | 243-254 |
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Notes | DAG; CIC; OR; invisible;MV | Approved | no | ||
Call Number | Admin @ si @ VBL2012 | Serial | 2070 | ||
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Author | Michal Drozdzal; Petia Radeva; Santiago Segui; Laura Igual; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria | ||||
Title | System and method for automatic detection of in vivo contraction video sequences | Type | Patent | ||
Year | 2012 | Publication | US20120057766 | Abbreviated Journal | |
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Abstract | Publication date: 2012/3/8 | ||||
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Notes | MILAB; OR;MV | Approved | no | ||
Call Number | Admin @ si @ DRS2012b | Serial | 2071 | ||
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Author | Abel Gonzalez-Garcia; Robert Benavente; Olivier Penacchio; Javier Vazquez; Maria Vanrell; C. Alejandro Parraga | ||||
Title | Coloresia: An Interactive Colour Perception Device for the Visually Impaired | Type | Book Chapter | ||
Year | 2013 | Publication | Multimodal Interaction in Image and Video Applications | Abbreviated Journal | |
Volume | 48 | Issue | Pages | 47-66 | |
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Abstract | A significative percentage of the human population suffer from impairments in their capacity to distinguish or even see colours. For them, everyday tasks like navigating through a train or metro network map becomes demanding. We present a novel technique for extracting colour information from everyday natural stimuli and presenting it to visually impaired users as pleasant, non-invasive sound. This technique was implemented inside a Personal Digital Assistant (PDA) portable device. In this implementation, colour information is extracted from the input image and categorised according to how human observers segment the colour space. This information is subsequently converted into sound and sent to the user via speakers or headphones. In the original implementation, it is possible for the user to send its feedback to reconfigure the system, however several features such as these were not implemented because the current technology is limited.We are confident that the full implementation will be possible in the near future as PDA technology improves. | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
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ISSN | 1868-4394 | ISBN | 978-3-642-35931-6 | Medium | |
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Notes | CIC; 600.052; 605.203 | Approved | no | ||
Call Number | Admin @ si @ GBP2013 | Serial | 2266 | ||
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Author | Laura Igual; Xavier Baro | ||||
Title | Experiencia de aprendizaje de programación basada en proyectos. Simposio-Taller Estrategias y herramientas para el aprendizaje y la evaluación | Type | Miscellaneous | ||
Year | 2013 | Publication | Simposio-Taller Estrategias y herramientas para el aprendizaje y la evaluación, de las XIX Jornadas sobre la Enseñanza Universitaria de la Informática | Abbreviated Journal | |
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Area | Expedition | Conference | JENUI | ||
Notes | OR;HuPBA;MV | Approved | no | ||
Call Number | Admin @ si @ IgB2013 | Serial | 2257 | ||
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Author | S.Grau; Anna Puig; Sergio Escalera; Maria Salamo; Oscar Amoros | ||||
Title | Efficient complementary viewpoint selection in volume rendering | Type | Conference Article | ||
Year | 2013 | Publication | 21st WSCG Conference on Computer Graphics, | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | Dual camera; Visualization; Interactive Interfaces; Dynamic Time Warping. | ||||
Abstract | A major goal of visualization is to appropriately express knowledge of scientific data. Generally, gathering visual information contained in the volume data often requires a lot of expertise from the final user to setup the parameters of the visualization. One way of alleviating this problem is to provide the position of inner structures with different viewpoint locations to enhance the perception and construction of the mental image. To this end, traditional illustrations use two or three different views of the regions of interest. Similarly, with the aim of assisting the users to easily place a good viewpoint location, this paper proposes an automatic and interactive method that locates different complementary viewpoints from a reference camera in volume datasets. Specifically, the proposed method combines the quantity of information each camera provides for each structure and the shape similarity of the projections of the remaining viewpoints based on Dynamic Time Warping. The selected complementary viewpoints allow a better understanding of the focused structure in several applications. Thus, the user interactively receives feedback based on several viewpoints that helps him to understand the visual information. A live-user evaluation on different data sets show a good convergence to useful complementary viewpoints. | ||||
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ISSN | ISBN | 978-808694374-9 | Medium | ||
Area | Expedition | Conference | WSCG | ||
Notes | HuPBA; 600.046;MILAB | Approved | no | ||
Call Number | Admin @ si @ GPE2013a | Serial | 2255 | ||
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Author | Santiago Segui; Laura Igual; Jordi Vitria | ||||
Title | Bagged One Class Classifiers in the Presence of Outliers | Type | Journal Article | ||
Year | 2013 | Publication | International Journal of Pattern Recognition and Artificial Intelligence | Abbreviated Journal | IJPRAI |
Volume | 27 | Issue | 5 | Pages | 1350014-1350035 |
Keywords | One-class Classifier; Ensemble Methods; Bagging and Outliers | ||||
Abstract | The problem of training classifiers only with target data arises in many applications where non-target data are too costly, difficult to obtain, or not available at all. Several one-class classification methods have been presented to solve this problem, but most of the methods are highly sensitive to the presence of outliers in the target class. Ensemble methods have therefore been proposed as a powerful way to improve the classification performance of binary/multi-class learning algorithms by introducing diversity into classifiers.
However, their application to one-class classification has been rather limited. In this paper, we present a new ensemble method based on a non-parametric weighted bagging strategy for one-class classification, to improve accuracy in the presence of outliers. While the standard bagging strategy assumes a uniform data distribution, the method we propose here estimates a probability density based on a forest structure of the data. This assumption allows the estimation of data distribution from the computation of simple univariate and bivariate kernel densities. Experiments using original and noisy versions of 20 different datasets show that bagging ensemble methods applied to different one-class classifiers outperform base one-class classification methods. Moreover, we show that, in noisy versions of the datasets, the non-parametric weighted bagging strategy we propose outperforms the classical bagging strategy in a statistically significant way. |
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Notes | OR; 600.046;MV | Approved | no | ||
Call Number | Admin @ si @ SIV2013 | Serial | 2256 | ||
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Author | Miguel Angel Bautista; Sergio Escalera; Oriol Pujol | ||||
Title | On the Design of an ECOC-Compliant Genetic Algorithm | Type | Journal Article | ||
Year | 2014 | Publication | Pattern Recognition | Abbreviated Journal | PR |
Volume | 47 | Issue | 2 | Pages | 865-884 |
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Abstract | Genetic Algorithms (GA) have been previously applied to Error-Correcting Output Codes (ECOC) in state-of-the-art works in order to find a suitable coding matrix. Nevertheless, none of the presented techniques directly take into account the properties of the ECOC matrix. As a result the considered search space is unnecessarily large. In this paper, a novel Genetic strategy to optimize the ECOC coding step is presented. This novel strategy redefines the usual crossover and mutation operators in order to take into account the theoretical properties of the ECOC framework. Thus, it reduces the search space and lets the algorithm to converge faster. In addition, a novel operator that is able to enlarge the code in a smart way is introduced. The novel methodology is tested on several UCI datasets and four challenging computer vision problems. Furthermore, the analysis of the results done in terms of performance, code length and number of Support Vectors shows that the optimization process is able to find very efficient codes, in terms of the trade-off between classification performance and the number of classifiers. Finally, classification performance per dichotomizer results shows that the novel proposal is able to obtain similar or even better results while defining a more compact number of dichotomies and SVs compared to state-of-the-art approaches. | ||||
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Notes | HuPBA;MILAB | Approved | no | ||
Call Number | Admin @ si @ BEP2013 | Serial | 2254 | ||
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Author | Miguel Reyes; Albert Clapes; Jose Ramirez; Juan R Revilla; Sergio Escalera | ||||
Title | Automatic Digital Biometry Analysis based on Depth Maps | Type | Journal Article | ||
Year | 2013 | Publication | Computers in Industry | Abbreviated Journal | COMPUTIND |
Volume | 64 | Issue | 9 | Pages | 1316-1325 |
Keywords | Multi-modal data fusion; Depth maps; Posture analysis; Anthropometric data; Musculo-skeletal disorders; Gesture analysis | ||||
Abstract | World Health Organization estimates that 80% of the world population is affected by back-related disorders during his life. Current practices to analyze musculo-skeletal disorders (MSDs) are expensive, subjective, and invasive. In this work, we propose a tool for static body posture analysis and dynamic range of movement estimation of the skeleton joints based on 3D anthropometric information from multi-modal data. Given a set of keypoints, RGB and depth data are aligned, depth surface is reconstructed, keypoints are matched, and accurate measurements about posture and spinal curvature are computed. Given a set of joints, range of movement measurements is also obtained. Moreover, gesture recognition based on joint movements is performed to look for the correctness in the development of physical exercises. The system shows high precision and reliable measurements, being useful for posture reeducation purposes to prevent MSDs, as well as tracking the posture evolution of patients in rehabilitation treatments. | ||||
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Publisher | Elsevier | Place of Publication | Editor | ||
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Notes | HuPBA;MILAB | Approved | no | ||
Call Number | Admin @ si @ RCR2013 | Serial | 2252 | ||
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Author | Eloi Puertas; Sergio Escalera; Oriol Pujol | ||||
Title | Generalized Multi-scale Stacked Sequential Learning for Multi-class Classification | Type | Journal Article | ||
Year | 2015 | Publication | Pattern Analysis and Applications | Abbreviated Journal | PAA |
Volume | 18 | Issue | 2 | Pages | 247-261 |
Keywords | Stacked sequential learning; Multi-scale; Error-correct output codes (ECOC); Contextual classification | ||||
Abstract | In many classification problems, neighbor data labels have inherent sequential relationships. Sequential learning algorithms take benefit of these relationships in order to improve generalization. In this paper, we revise the multi-scale sequential learning approach (MSSL) for applying it in the multi-class case (MMSSL). We introduce the error-correcting output codesframework in the MSSL classifiers and propose a formulation for calculating confidence maps from the margins of the base classifiers. In addition, we propose a MMSSL compression approach which reduces the number of features in the extended data set without a loss in performance. The proposed methods are tested on several databases, showing significant performance improvement compared to classical approaches. | ||||
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Publisher | Springer-Verlag | Place of Publication | Editor | ||
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ISSN | 1433-7541 | ISBN | Medium | ||
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Notes | HuPBA;MILAB | Approved | no | ||
Call Number | Admin @ si @ PEP2013 | Serial | 2251 | ||
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Author | Albert Clapes; Miguel Reyes; Sergio Escalera | ||||
Title | Multi-modal User Identification and Object Recognition Surveillance System | Type | Journal Article | ||
Year | 2013 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
Volume | 34 | Issue | 7 | Pages | 799-808 |
Keywords | Multi-modal RGB-Depth data analysis; User identification; Object recognition; Intelligent surveillance; Visual features; Statistical learning | ||||
Abstract | We propose an automatic surveillance system for user identification and object recognition based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a pixel-based background Gaussian distribution. Then, user and object candidate regions are detected and recognized using robust statistical approaches. The system robustly recognizes users and updates the system in an online way, identifying and detecting new actors in the scene. Moreover, segmented objects are described, matched, recognized, and updated online using view-point 3D descriptions, being robust to partial occlusions and local 3D viewpoint rotations. Finally, the system saves the historic of user–object assignments, being specially useful for surveillance scenarios. The system has been evaluated on a novel data set containing different indoor/outdoor scenarios, objects, and users, showing accurate recognition and better performance than standard state-of-the-art approaches. | ||||
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Publisher | Elsevier | Place of Publication | Editor | ||
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Notes | HUPBA; 600.046; 605.203;MILAB | Approved | no | ||
Call Number | Admin @ si @ CRE2013 | Serial | 2248 | ||
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