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Author Mikhail Mozerov; V. Kober edit  openurl
  Title Impulse Noise Removal with Gradient Adaptive Neighborhoods Type (up) Journal
  Year 2006 Publication Optical Engineering, 45: 67003 Abbreviated Journal  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ MoK2006 Serial 676  
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Author E. Pastor; A. Agueda; Juan Andrade; M. Muñoz; Y. Perez; E. Planas edit  openurl
  Title Computing the rate of spread of linear flame fronts by thermal image processing Type (up) Journal
  Year 2006 Publication Fire Safety Journal, 41(8):569–579 Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ PAA2006 Serial 679  
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Author Ernest Valveny; Philippe Dosch edit  openurl
  Title A general framework for the evaluation of symbol recognition methods Type (up) Journal
  Year 2006 Publication International Journal on Document Analysis and Recognition Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ VaD2006 Serial 686  
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Author Agata Lapedriza; David Masip; Jordi Vitria edit  doi
openurl 
  Title On the Use of External Face Features for Identity Verification Type (up) Journal
  Year 2006 Publication Journal of Multimedia, 1(4): 11–20 Abbreviated Journal  
  Volume 1 Issue 4 Pages 11-20  
  Keywords Face Verification, Computer Vision, Machine Learning  
  Abstract In general automatic face classification applications images are captured in natural environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system we have performed face verification experiments using public databases, given that identity verification is a general task that has many real life applications. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for verification purposes, specially significant when faces are partially occluded.  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LMV2006b Serial 708  
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Author Angel Sappa edit  openurl
  Title Splitting up Panoramic Range Images into Compact 2½D Representations Type (up) Journal
  Year 2006 Publication International Journal of Imaging Systems and Technology, 16(3): 85–91 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ Sap2006b Serial 721  
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Author Jordi Vitria; M. Bressan; Petia Radeva edit  openurl
  Title Bayesian classification of cork stoppers using class-conditional independent component analysis Type (up) Journal
  Year 2006 Publication IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6) Abbreviated Journal  
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  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VBR2006 Serial 723  
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Author Fadi Dornaika; Franck Davoine edit  openurl
  Title On appearance based face and facial action tracking Type (up) Journal
  Year 2006 Publication IEEE Transactions on Circuits and Systems for Video Technology, 16(9): 1838–1853 Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ DoD2006b Serial 732  
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Author Fadi Dornaika; J. Ahlberg edit  openurl
  Title Fitting 3D face models for tracking and active appearance model training Type (up) Journal
  Year 2006 Publication Image and Vision Computing, 24(9): 1010–1024 Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ DoA2006 Serial 733  
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Author Ernest Valveny; Philippe Dosch; Adam Winstanley; Yu Zhou; Su Yang; Luo Yan; Liu Wenyin; Dave Elliman; Mathieu Nicolas Delalandre; Eric Trupin; Sebastien Adam; Jean-Marc Ogier edit  openurl
  Title A general framework for the evaluation of symbol recognition methods Type (up) Journal
  Year 2006 Publication International Journal on Document Analysis and Recognition (IJDAR), 9(1): 59–74 Abbreviated Journal  
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  Call Number DAG @ dag @ VDW2006 Serial 801  
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Author Oriol Ramos Terrades; Ernest Valveny edit  doi
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  Title A new use of the ridgelets transform for describing linear singularities in images Type (up) Journal Article
  Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 27 Issue 6 Pages 587–596  
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  Call Number DAG @ dag @ RaV2006a Serial 635  
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Author Jaume Amores; N. Sebe; Petia Radeva edit  doi
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  Title Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier Type (up) 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 Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva edit  doi
openurl 
  Title ROC curves and video analysis optimization in intestinal capsule endoscopy Type (up) Journal Article
  Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 27 Issue 8 Pages 875–881  
  Keywords ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy  
  Abstract Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions.  
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  Notes MILAB;MV;SIAI Approved no  
  Call Number BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 Serial 647  
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Author Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez edit   pdf
url  openurl
  Title On-board camera extrinsic parameter estimation Type (up) Journal Article
  Year 2006 Publication Electronics Letters Abbreviated Journal EL  
  Volume 42 Issue 13 Pages 745–746  
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  Abstract An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction.  
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  Call Number ADAS @ adas @ SGD2006a Serial 655  
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Author Xavier Otazu; Oriol Pujol edit  doi
openurl 
  Title Wavelet based approach to cluster analysis. Application on low dimensional data sets Type (up) Journal Article
  Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 27 Issue 14 Pages 1590–1605  
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  Notes MILAB; CIC; HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ OtP2006 Serial 658  
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Author Debora Gil; Jose Maria-Carazo; Roberto Marabini edit   pdf
doi  openurl
  Title On the nature of 2D crystal unbending Type (up) Journal Article
  Year 2006 Publication Journal of Structural Biology Abbreviated Journal  
  Volume 156 Issue 3 Pages 546-555  
  Keywords Electron microscopy  
  Abstract Crystal unbending, the process that aims to recover a perfect crystal from experimental data, is one of the more important steps in electron crystallography image processing. The unbending process involves three steps: estimation of the unit cell displacements from their ideal positions, extension of the deformation field to the whole image and transformation of the image in order to recover an ideal crystal. In this work, we present a systematic analysis of the second step oriented to address two issues. First, whether the unit cells remain undistorted and only the distance between them should be changed (rigid case) or should be modified with the same deformation suffered by the whole crystal (elastic case). Second, the performance of different extension algorithms (interpolation versus approximation) is explored. Our experiments show that there is no difference between elastic and rigid cases or among the extension algorithms. This implies that the deformation fields are constant over large areas. Furthermore, our results indicate that the main source of error is the transformation of the crystal image.  
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  ISSN 1047-8477 ISBN Medium  
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  Notes IAM; Approved no  
  Call Number IAM @ iam @ GCM2006 Serial 1519  
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