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Author |
Lluis Pere de las Heras; Oriol Ramos Terrades; Josep Llados; David Fernandez; Cristina Cañero |
![goto web page (via DOI) doi](img/doi.gif)
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Use case visual Bag-of-Words techniques for camera based identity document classification |
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Conference Article |
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2015 |
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13th International Conference on Document Analysis and Recognition ICDAR2015 |
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721 - 725 |
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Nowadays, automatic identity document recognition, including passport and driving license recognition, is at the core of many applications within the administrative and service sectors, such as police, hospitality, car renting, etc. In former years, the document information was manually extracted whereas today this data is recognized automatically from images obtained by flat-bed scanners. Yet, since these scanners tend to be expensive and voluminous, companies in the sector have recently turned their attention to cheaper, small and yet computationally powerful scanners: the mobile devices. The document identity recognition from mobile images enclose several new difficulties w.r.t traditional scanned images, such as the loss of a controlled background, perspective, blurring, etc. In this paper we present a real application for identity document classification of images taken from mobile devices. This classification process is of extreme importance since a prior knowledge of the document type and origin strongly facilitates the subsequent information extraction. The proposed method is based on a traditional Bagof-Words in which we have taken into consideration several key aspects to enhance recognition rate. The method performance has been studied on three datasets containing more than 2000 images from 129 different document classes. |
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Nancy; France; August 2015 |
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DAG; 600.077; 600.061; |
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Admin @ si @ HRL2015a |
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2726 |
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Author |
Jorge Bernal |
![download PDF file pdf](img/file_PDF.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Use of Projection and Back-projection Methods in Bidimensional Computed Tomography Image Reconstruction |
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Report |
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2009 |
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CVC Tecnical Report |
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141 |
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Projection, Back-projection, CT scan, Euclidean geometry, Radon transform |
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One of the biggest drawbacks related to the use of CT scanners is the cost (in memory and in time) associated. In this project many methods to simulate their functioning, but in a more feasible way (taking an industrial point of view), will be studied.
The main group of techniques that are being used are the one entitled as ’back-projection’. The concept behind is to simulate the X ray emission in CT scans by lines that cross with the image we want to reconstruct.
In the first part of this document euclidean geometry is used to face the tasks of projec- tion and back-projection. After analysing the results achieved it has been proved that this approach does not lead to a fully perfect reconstruction (and also has some other problems related to running time and memory cost). Because of this in the second part of the document ’Filtered Back-projection’ method is introduced in order to improve the results.
Filtered Back-projection methods rely on mathematical transforms (Fourier, Radon) in order to provide more accurate results that can be obtained in much less time. The main cause of this better results is the use of a filtering process before the back-projection in order to avoid high frequency-caused errors.
As a result of this project two different implementations (one for each approach) had been implemented in order to compare their performance. |
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Computer Vision Center |
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Master's thesis |
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Barcelona, Spain |
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800 |
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MV; |
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IAM @ iam @ Ber2009 |
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1693 |
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F. Javier Sanchez; Jorge Bernal |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Use of Software Tools for Real-time Monitoring of Learning Processes: Application to Compilers subject |
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2018 |
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4th International Conference of Higher Education Advances |
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1359-1366 |
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Monitoring; Evaluation tool; Gamification; Student motivation |
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The effective implementation of the Higher European Education Area has meant a change regarding the focus of the learning process, being now the student at its very center. This shift of focus requires a strong involvement and fluent communication between teachers and students to succeed. Considering the difficulties associated to motivate students to take a more active role in the learning process, we explore how the use of a software tool can help both actors to improve the learning experience. We present a tool that can help students to obtain instantaneous feedback with respect to their progress in the subject as well as providing teachers with useful information about the evolution of knowledge acquisition with respect to each of the subject areas. We compare the performance achieved by students in two academic years: results show an improvement in overall performance which, after observing graphs provided by our tool, can be associated to an increase in students interest in the subject. |
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Valencia; June 2018 |
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HEAD |
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MV; no proj |
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Admin @ si @ SaB2018 |
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3165 |
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Author |
Maya Dimitrova; N. Kushmerick; Petia Radeva; Juan J. Villanueva |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
User Assesment of a Visual Genre Classifier |
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Miscellaneous |
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2003 |
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Proceedings of the 3rd IASTED Int. Conference Visualization, Imaging and Image Processing |
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MILAB |
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BCNPCL @ bcnpcl @ DKR2003 |
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372 |
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Author |
Albert Clapes; Miguel Reyes; Sergio Escalera |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis |
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Conference Article |
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2012 |
Publication |
7th Conference on Articulated Motion and Deformable Objects |
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7378 |
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1-11 |
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We propose an automatic 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 online using robust statistical approaches over RGBD descriptions. 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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Mallorca |
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Springer Berlin Heidelberg |
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LNCS |
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0302-9743 |
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978-3-642-31566-4 |
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AMDO |
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HUPBA;MILAB |
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Admin @ si @ CRE2012 |
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2010 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
User Verification From Walking Activity. First Steps Towards a Personal Verification System |
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2011 |
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1st International Conference on Pervasive and Embedded Computing and Communication Systems |
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Algarve, Portugal |
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MILAB;HuPBA |
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Admin @ si @ CPR2011c |
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1762 |
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Author |
M. Bressan; David Guillamet; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using a local ICA Representation of High Dimensional Data for Object Recognition and Classification. |
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Miscellaneous |
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2001 |
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Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). |
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Hawaii |
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OR;MV |
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BCNPCL @ bcnpcl @ BGV2001 |
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75 |
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Author |
M. Bressan; David Guillamet; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using an ICA Representation of Local Color Histograms for Object Recognition |
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2003 |
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Pattern Recognition, 36(3):691–701 (IF: 1.611) |
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OR;MV |
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BCNPCL @ bcnpcl @ BGV2003 |
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365 |
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M. Bressan; David Guillamet; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using an ICA representation of local color histograms for object recognition. |
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Miscellaneous |
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2000 |
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Butlleti de l´ ACIA, 22:300–307. |
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BCNPCL @ bcnpcl @ BGV2000 |
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338 |
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Author |
Josep Llados; Horst Bunke; Enric Marti |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using cyclic string matching to find rotational and reflectional symmetric shapes |
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1996 |
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Dagstuhl Seminar on Modelling and Planning for Sensor–based Intelligent Robot Systems |
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World Scientific |
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Saarbrucken (Germany). |
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R.C. Bolles, H.B.H.N. |
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DAG;IAM |
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IAM @ iam @ LBM1996 |
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1564 |
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Author |
Josep Llados;Horst Bunke; Enric Marti |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using Cyclic String Matching to Find Rotational and Reflectional Symmetries in Shapes |
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1997 |
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Intelligent Robots: Sensing, Modeling and Planning |
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164-179 |
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Dagstuhl Workshop |
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World Scientific Press |
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DAG;IAM; |
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IAM @ iam @ LBM1997b |
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1563 |
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X. Binefa; F. Javier Sanchez; F.X. Perez; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using defocus in optical inspection of integrated circuits |
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1993 |
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Institute of Physics Conferences Series |
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135 |
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10 |
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389-392 |
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Bristol |
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Institute of Physics |
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BCNPCL @ bcnpcl @ BSP1993; IAM @ iam @ BSP1993 |
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Author |
David Guillamet; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using Eigenspace analysis of color distributions for object recognition |
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Miscellaneous |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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BCNPCL @ bcnpcl @ GuV1999a |
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5 |
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Author |
A. Martinez; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using Low-Dimensional Spaces for Face Recognition. |
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Miscellaneous |
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1997 |
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Jornades d'Intel.ligència Artificial: Noves Tendències (JIA'97) |
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Lleida |
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DOC;OR;MV |
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BCNPCL @ bcnpcl @ MaV1997a |
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52 |
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Author |
J. Pladellorens; Joan Serrat; A. Castell; M.J. Yzuel |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Using mathematical morphology to determine left ventricular contours. |
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1993 |
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Physics in Medicine and Biology. |
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Volume |
37 |
Issue |
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Pages |
1877––1894 |
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Notes |
ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ PSC1993 |
Serial |
146 |
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Permanent link to this record |