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Author | Antonio Lopez; Felipe Lumbreras; A. Martinez; Joan Serrat; Xavier Roca; X. Varona; Jordi Vitria | ||||
Title | Aplicaciones de la vision por computador a la industria. | Type | Miscellaneous | ||
Year | 1997 | Publication | CVC | Abbreviated Journal | |
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Notes | ADAS;OR;ISE;MV | Approved | no | ||
Call Number | ADAS @ adas @ LLM1997b | Serial | 50 | ||
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Author | Eirikur Agustsson; Radu Timofte; Sergio Escalera; Xavier Baro; Isabelle Guyon; Rasmus Rothe | ||||
Title | Apparent and real age estimation in still images with deep residual regressors on APPA-REAL database | Type | Conference Article | ||
Year | 2017 | Publication | 12th IEEE International Conference on Automatic Face and Gesture Recognition | Abbreviated Journal | |
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Abstract | After decades of research, the real (biological) age estimation from a single face image reached maturity thanks to the availability of large public face databases and impressive accuracies achieved by recently proposed methods.
The estimation of “apparent age” is a related task concerning the age perceived by human observers. Significant advances have been also made in this new research direction with the recent Looking At People challenges. In this paper we make several contributions to age estimation research. (i) We introduce APPA-REAL, a large face image database with both real and apparent age annotations. (ii) We study the relationship between real and apparent age. (iii) We develop a residual age regression method to further improve the performance. (iv) We show that real age estimation can be successfully tackled as an apparent age estimation followed by an apparent to real age residual regression. (v) We graphically reveal the facial regions on which the CNN focuses in order to perform apparent and real age estimation tasks. |
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Address | Washington;USA; May 2017 | ||||
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Area | Expedition | Conference | FG | ||
Notes | HUPBA; no menciona | Approved | no | ||
Call Number | Admin @ si @ ATE2017 | Serial | 3013 | ||
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Author | X. Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva | ||||
Title | Appearance Tracking for Video Surveillance | Type | Miscellaneous | ||
Year | 2003 | Publication | Abbreviated Journal | ||
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Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ VGR2003a | Serial | 358 | ||
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Author | J. Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva | ||||
Title | Appearance Tracking for Video Surveillance | Type | Miscellaneous | ||
Year | 2003 | Publication | In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:1041–1048 | Abbreviated Journal | |
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Address | Springer-Verlag | ||||
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Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ VGR2003b | Serial | 425 | ||
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Author | Fadi Dornaika; Angel Sappa | ||||
Title | Appearance-based 3D Face Tracker: An Evaluation Study | Type | Miscellaneous | ||
Year | 2005 | Publication | 2nd IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 121–128 | Abbreviated Journal | |
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Address | Beijing (China) | ||||
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ DoS2005b | Serial | 580 | ||
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Author | Bogdan Raducanu; Fadi Dornaika | ||||
Title | Appearance-based Face Recognition Using A Supervised Manifold Learning Framework | Type | Conference Article | ||
Year | 2012 | Publication | IEEE Workshop on the Applications of Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 465-470 | ||
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Abstract | Many natural image sets, depicting objects whose appearance is changing due to motion, pose or light variations, can be considered samples of a low-dimension nonlinear manifold embedded in the high-dimensional observation space (the space of all possible images). The main contribution of our work is represented by a Supervised Laplacian Eigemaps (S-LE) algorithm, which exploits the class label information for mapping the original data in the embedded space. Our proposed approach benefits from two important properties: i) it is discriminative, and ii) it adaptively selects the neighbors of a sample without using any predefined neighborhood size. Experiments were conducted on four face databases and the results demonstrate that the proposed algorithm significantly outperforms many linear and non-linear embedding techniques. Although we've focused on the face recognition problem, the proposed approach could also be extended to other category of objects characterized by large variance in their appearance. | ||||
Address | Breckenridge; CO; USA | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE Xplore | Place of Publication | Editor | ||
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ISSN | 1550-5790 | ISBN | 978-1-4673-0233-3 | Medium | |
Area | Expedition | Conference | WACV | ||
Notes | OR;MV | Approved | no | ||
Call Number | Admin @ si @ RaD2012d | Serial | 1890 | ||
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Author | Ernest Valveny; Enric Marti | ||||
Title | Application of deformable template matching to symbol recognition in hand-written architectural draw | Type | Conference Article | ||
Year | 1999 | Publication | Proceedings of the Fifth International Conference on | Abbreviated Journal | |
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Abstract | We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified. | ||||
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Publisher | Place of Publication | Bangalore (India) | Editor | ||
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Notes | DAG;IAM; | Approved | no | ||
Call Number | IAM @ iam @ VAM1999a | Serial | 1657 | ||
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Author | Ernest Valveny; Miquel Ferrer | ||||
Title | Application of Graph Embedding to Solve Graph Matchin Problems | Type | Conference Article | ||
Year | 2008 | Publication | Colloque International Francophone sur l’Ecrit et le Document | Abbreviated Journal | |
Volume | Issue | Pages | 13–18 | ||
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Address | Rouen (France) | ||||
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Area | Expedition | Conference | CIFED’08 | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ VaF2008 | Serial | 1063 | ||
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Author | Gisel Bastidas-Guacho; Patricio Moreno; Boris X. Vintimilla; Angel Sappa | ||||
Title | Application on the Loop of Multimodal Image Fusion: Trends on Deep-Learning Based Approaches | Type | Conference Article | ||
Year | 2023 | Publication | 13th International Conference on Pattern Recognition Systems | Abbreviated Journal | |
Volume | 14234 | Issue | Pages | 25–36 | |
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Abstract | Multimodal image fusion allows the combination of information from different modalities, which is useful for tasks such as object detection, edge detection, and tracking, to name a few. Using the fused representation for applications results in better task performance. There are several image fusion approaches, which have been summarized in surveys. However, the existing surveys focus on image fusion approaches where the application on the loop of multimodal image fusion is not considered. On the contrary, this study summarizes deep learning-based multimodal image fusion for computer vision (e.g., object detection) and image processing applications (e.g., semantic segmentation), that is, approaches where the application module leverages the multimodal fusion process to enhance the final result. Firstly, we introduce image fusion and the existing general frameworks for image fusion tasks such as multifocus, multiexposure and multimodal. Then, we describe the multimodal image fusion approaches. Next, we review the state-of-the-art deep learning multimodal image fusion approaches for vision applications. Finally, we conclude our survey with the trends of task-driven multimodal image fusion. | ||||
Address | Guayaquil; Ecuador; July 2023 | ||||
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Area | Expedition | Conference | ICPRS | ||
Notes | MSIAU | Approved | no | ||
Call Number | Admin @ si @ BMV2023 | Serial | 3932 | ||
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Author | M.J. Yzuel; J. Pladellorens; Joan Serrat; A. Dupuy | ||||
Title | Application restauration and edge detection techniques in the calculation of left ventricular volumes. | Type | Conference Article | ||
Year | 1993 | Publication | Optics in Medicine, Biology and Environmental Research : Selected contributions to the first International Conference on Optics within Life Sciences (OWLS I) | Abbreviated Journal | |
Volume | Issue | Pages | 374-375 | ||
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Publisher | Elsevier | Place of Publication | Editor | ||
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Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ YPS1993 | Serial | 244 | ||
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Author | Aura Hernandez-Sabate; Debora Gil;Eduard Fernandez-Nofrerias;Petia Radeva; Enric Marti | ||||
Title | Approaching Artery Rigid Dynamics in IVUS | Type | Journal Article | ||
Year | 2009 | Publication | IEEE Transactions on Medical Imaging | Abbreviated Journal | TMI |
Volume | 28 | Issue | 11 | Pages | 1670-1680 |
Keywords | Fourier analysis; intravascular ultrasound (IVUS) dynamics; longitudinal motion; quality measures; tissue deformation. | ||||
Abstract | Tissue biomechanical properties (like strain and stress) are playing an increasing role in diagnosis and long-term treatment of intravascular coronary diseases. Their assessment strongly relies on estimation of vessel wall deformation. Since intravascular ultrasound (IVUS) sequences allow visualizing vessel morphology and reflect its dynamics, this technique represents a useful tool for evaluation of tissue mechanical properties. Image misalignment introduced by vessel-catheter motion is a major artifact for a proper tracking of tissue deformation. In this work, we focus on compensating and assessing IVUS rigid in-plane motion due to heart beating. Motion parameters are computed by considering both the vessel geometry and its appearance in the image. Continuum mechanics laws serve to introduce a novel score measuring motion reduction in in vivo sequences. Synthetic experiments validate the proposed score as measure of motion parameters accuracy; whereas results in in vivo pullbacks show the reliability of the presented methodologies in clinical cases. | ||||
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ISSN | 0278-0062 | ISBN | Medium | ||
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Notes | IAM; MILAB | Approved | no | ||
Call Number | IAM @ iam @ HGF2009 | Serial | 1545 | ||
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Author | Pierluigi Casale; Oriol Pujol; Petia Radeva | ||||
Title | Approximate Convex Hulls Family for One-Class Cassification | Type | Conference Article | ||
Year | 2011 | Publication | 10th International Workshop on Multiple Classifier Systems | Abbreviated Journal | |
Volume | 6713 | Issue | Pages | 106-115 | |
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Abstract | In this work, a new method for one-class classification based on the Convex Hull geometric structure is proposed. The new method creates a family of convex hulls able to fit the geometrical shape of the training points. The increased computational cost due to the creation of the convex hull in multiple dimensions is circumvented using random projections. This provides an approximation of the original structure with multiple bi-dimensional views. In the projection planes, a mechanism for noisy points rejection has also been elaborated and evaluated. Results show that the approach performs considerably well with respect to the state the art in one-class classification. | ||||
Address | Napoli, Italy | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | Carlo Sansone; Josef Kittler; Fabio Roli | |
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-21556-8 | Medium | |
Area | Expedition | Conference | MCS | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ CPR2011b | Serial | 1761 | ||
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Author | Pierluigi Casale | ||||
Title | Approximate Ensemble Methods for Physical Activity Recognition Applications | Type | Book Whole | ||
Year | 2011 | Publication | PhD Thesis, Universitat de Barcelona-CVC | Abbreviated Journal | |
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Abstract | The main interest of this thesis focuses on computational methodologies able to
reduce the degree of complexity of learning algorithms and its application to physical activity recognition. Random Projections will be used to reduce the computational complexity in Multiple Classifier Systems. A new boosting algorithm and a new one-class classification methodology have been developed. In both cases, random projections are used for reducing the dimensionality of the problem and for generating diversity, exploiting in this way the benefits that ensembles of classifiers provide in terms of performances and stability. Moreover, the new one-class classification methodology, based on an ensemble strategy able to approximate a multidimensional convex-hull, has been proved to over-perform state-of-the-art one-class classification methodologies. The practical focus of the thesis is towards Physical Activity Recognition. A new hardware platform for wearable computing application has been developed and used for collecting data of activities of daily living allowing to study the optimal features set able to successful classify activities. Based on the classification methodologies developed and the study conducted on physical activity classification, a machine learning architecture capable to provide a continuous authentication mechanism for mobile-devices users has been worked out, as last part of the thesis. The system, based on a personalized classifier, states on the analysis of the characteristic gait patterns typical of each individual ensuring an unobtrusive and continuous authentication mechanism |
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Corporate Author | Thesis | Ph.D. thesis | |||
Publisher | Ediciones Graficas Rey | Place of Publication | Editor | Oriol Pujol;Petia Radeva | |
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Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @ Cas2011 | Serial | 1837 | ||
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Author | Pierluigi Casale; Oriol Pujol; Petia Radeva | ||||
Title | Approximate polytope ensemble for one-class classification | Type | Journal Article | ||
Year | 2014 | Publication | Pattern Recognition | Abbreviated Journal | PR |
Volume | 47 | Issue | 2 | Pages | 854-864 |
Keywords | One-class classification; Convex hull; High-dimensionality; Random projections; Ensemble learning | ||||
Abstract | In this work, a new one-class classification ensemble strategy called approximate polytope ensemble is presented. The main contribution of the paper is threefold. First, the geometrical concept of convex hull is used to define the boundary of the target class defining the problem. Expansions and contractions of this geometrical structure are introduced in order to avoid over-fitting. Second, the decision whether a point belongs to the convex hull model in high dimensional spaces is approximated by means of random projections and an ensemble decision process. Finally, a tiling strategy is proposed in order to model non-convex structures. Experimental results show that the proposed strategy is significantly better than state of the art one-class classification methods on over 200 datasets. | ||||
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Notes | MILAB; 605.203 | Approved | no | ||
Call Number | Admin @ si @ CPR2014a | Serial | 2469 | ||
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Author | Bogdan Raducanu; Jordi Vitria | ||||
Title | Aprendiendo a Aprender: de Maquinas Listas a Maquinas Inteligentes | Type | Miscellaneous | ||
Year | 2006 | Publication | Campus Multidisciplinario en Percepcion e Inteligencia (Antionio Fernandez–Caballero et al., eds.), 1: 34–45 | Abbreviated Journal | |
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Address | Albacete (Spain) | ||||
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ RaV2006b | Serial | 714 | ||
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