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Author Dani Rowe; Ignasi Rius; Jordi Gonzalez; Juan J. Villanueva edit  openurl
  Title Improving Tracking by Handling Occlusions Type Miscellaneous
  Year 2005 Publication 3rd International Conference on Advances in Pattern Recognition (ICAPR’2005), Pattern Recognition and Image Analysis, LNCS 3687: 146–154, ISBN 978–3–540–28833–6 Abbreviated Journal  
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  Address Bath (United Kingdom)  
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  Area Expedition Conference (up)  
  Notes Approved no  
  Call Number ISE @ ise @ RRG2005d Serial 619  
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Author N. Zakaria; Jean-Marc Ogier; Josep Llados edit  openurl
  Title On-line Graphics Recognition based on Invariant Spatio-Sequential Descriptor: Fuzzy Matrix Type Miscellaneous
  Year 2005 Publication Sixth IAPR International Workshop on Graphics Recognition (GREC 2005), 248–259 Abbreviated Journal  
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  Address Hong Kong (China)  
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  Area Expedition Conference (up)  
  Notes DAG Approved no  
  Call Number DAG @ dag @ YFY2005b Serial 622  
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Author Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva edit  openurl
  Title A Comparison Framework for Walking Performances using aSpaces Type Journal
  Year 2005 Publication Electronic Letters on Computer Vision and Image Analysis, Special Issue on articulated Motion, 5(3):105–116 (Electronic Letters: IF: 1.016) Abbreviated Journal  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ GVR2005 Serial 623  
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Author Quan-sen Sun; Pheng-ann Heng; Zhong Jin; De-shen Xia edit  openurl
  Title Face recognition based on generalized canonical correlation analysis Type Book Chapter
  Year 2005 Publication Advances in Intelligent Computing, Lecture Notes in Computer Science, 3645: 958–967 Abbreviated Journal  
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  Address Hefei (China)  
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  Notes Approved no  
  Call Number Admin @ si @ SHJ2005 Serial 625  
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Author Quan-sen Sun; Zhong Jin; Pheng-ann Heng; De-shen Xia edit  openurl
  Title A novel feature fusion method based on partial least squares regression Type Book Chapter
  Year 2005 Publication Pattern Recognition and Data Mining, Lecture Notes in Computer Science, 3686: 268–277 Abbreviated Journal  
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  Address Bath (United Kingdom)  
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  Notes Approved no  
  Call Number Admin @ si @ SJH2005 Serial 626  
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Author Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun edit  openurl
  Title Face detection using template matching and skin color information Type Miscellaneous
  Year 2005 Publication International Conference on Intelligent Computing, 636–645 Abbreviated Journal  
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  Address Hefei (China)  
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  Notes Approved no  
  Call Number Admin @ si @ JLY2005 Serial 627  
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Author Zhong Jin; Jing-Yu Yang; Zhen Lou edit  openurl
  Title A luminance-conditional distribution model of skin color information Type Miscellaneous
  Year 2005 Publication 2005 Beijing International Conference on Imaging: Technology and Applications for the 21th Century, 280–281 Abbreviated Journal  
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  Address Beijing (China)  
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  Notes Approved no  
  Call Number Admin @ si @ JYL2005 Serial 628  
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Author Jaume Garcia; Joel Barajas; Francesc Carreras; Sandra Pujades; Petia Radeva edit   pdf
doi  isbn
openurl 
  Title An intuitive validation technique to compare local versus global tagged MRI analysis Type Conference Article
  Year 2005 Publication Computers In Cardiology Abbreviated Journal  
  Volume 32 Issue Pages 29–32  
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  Abstract Myocardium appears as a uniform tissue that seen in convectional Magnetic Resonance Images (MRI) shows just the contractile part of its movement. MR Tagging is a unique imaging technique that prints a grid over the tissue which moves according to the underlying movement of the myocardium revealing the true deformation of the cardiac muscle. Optical flow techniques based on spectral information estimate tissue displacement by analyzing information encoded in the phase maps which can be obtained using, local (Gabor) and global (HARP) methods. In this paper we compare both in synthetic and real Tagged MR sequences. We conclude that local method is slightly more accurate than the global one. On the other hand, global method is more efficient as it is much faster and less parameters have to be taken into account  
  Address Lyon (France)  
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  ISSN ISBN 0-7803-9337-6 Medium  
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  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ GBC2005 Serial 639  
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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Local Norm Features based on ridgelets Transform Type Miscellaneous
  Year 2005 Publication 8th International Conference on Document Analysis and Recognition (ICDAR´05), 700–704 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2005d Serial 642  
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Author J. Nuñez; Xavier Otazu; M.T. Merino edit  openurl
  Title A Multiresolution-Based Method for the Determination of the Relative Resolution between Images. First Application to Remote Sensing and Medical Images Type Journal
  Year 2005 Publication International Journal of Imaging Systems and Technology, 15(5): 225–235 (IF: 0.439) Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ NOM2005 Serial 645  
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Author Miquel Ferrer; F. Serratosa; A. Sanfeliu edit  openurl
  Title Synthesis of median spectral graph Type Book Chapter
  Year 2005 Publication Pattern Recognition and Image Analysis (IbPRIA´05), LNCS, 3523: 139 146 Abbreviated Journal  
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  Address Estoril (Portugal)  
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  Notes Approved no  
  Call Number Admin @ si @ FSS2005 Serial 656  
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Author Debora Gil; Petia Radeva edit   pdf
doi  openurl
  Title Extending anisotropic operators to recover smooth shapes Type Journal Article
  Year 2005 Publication Computer Vision and Image Understanding Abbreviated Journal  
  Volume 99 Issue 1 Pages 110-125  
  Keywords Contour completion; Functional extension; Differential operators; Riemmanian manifolds; Snake segmentation  
  Abstract Anisotropic differential operators are widely used in image enhancement processes. Recently, their property of smoothly extending functions to the whole image domain has begun to be exploited. Strong ellipticity of differential operators is a requirement that ensures existence of a unique solution. This condition is too restrictive for operators designed to extend image level sets: their own functionality implies that they should restrict to some vector field. The diffusion tensor that defines the diffusion operator links anisotropic processes with Riemmanian manifolds. In this context, degeneracy implies restricting diffusion to the varieties generated by the vector fields of positive eigenvalues, provided that an integrability condition is satisfied. We will use that any smooth vector field fulfills this integrability requirement to design line connection algorithms for contour completion. As application we present a segmenting strategy that assures convergent snakes whatever the geometry of the object to be modelled is.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1077-3142 ISBN Medium  
  Area Expedition Conference (up)  
  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ GIR2005 Serial 1530  
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Author Aura Hernandez-Sabate edit   pdf
openurl 
  Title Automatic adventitia segmentation in IntraVascular UltraSound images Type Report
  Year 2005 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue 85 Pages  
  Keywords  
  Abstract A usual tool in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of lumen-intima, intima-media and media-adventitia vessel borders is the main activity of physicians in the process of plaque quantification. Large variety in vessel border descriptors, as well as, shades, artifacts and blurred response due to ultrasound physical properties troubles automated media-adventitia segmentation. This experimental work presents a solution to such a complex problem. The process blends advanced anisotropic filtering operators and statistic classification techniques, achieving an efficient vessel border modelling strategy. First of all, we introduce the theoretic base of the method. After that, we show the steps of the algorithm, validating the method with statistics that show that the media-adventitia border detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. Finally, we present a little Matlab application to the automatic media-adventitia border.  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication 08193 Bellaterra, Barcelona (Spain) Editor  
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  Notes IAM; Approved no  
  Call Number IAM @ iam @ Her2005 Serial 1544  
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Author Aura Hernandez-Sabate; Debora Gil; Petia Radeva edit   pdf
openurl 
  Title A Deterministic-Statistical Strategy for Adventitia Segmentation in IVUS images Type Report
  Year 2005 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue 89 Pages  
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  Abstract A useful tool for some specific studies in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of luminal (inner) and media-adventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts and blurred signal response due to ultrasound physical properties troubles automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders.  
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  Notes IAM; MILAB Approved no  
  Call Number IAM @ iam @ HGR2005a Serial 1548  
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Author Aura Hernandez-Sabate; Debora Gil; Petia Radeva edit   pdf
openurl 
  Title On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging Type Conference Article
  Year 2005 Publication Proceeding of the 2005 conference on Artificial Intelligence Research and Development Abbreviated Journal  
  Volume Issue Pages 67-74  
  Keywords classification; vessel border modelling; IVUS  
  Abstract IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detection, especially the external adventitia layer, plays a central role in morphological measures and, thus, their segmentation feeds development of medical imaging techniques. Deterministic approaches fail to yield optimal results due to the large amount of IVUS artifacts and vessel borders descriptors. We propose using classification techniques to learn the set of descriptors and parameters that best detect vessel borders. Statistical hypothesis test on the error between automated detections and manually traced borders by 4 experts show that our detections keep within inter-observer variability.  
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  Publisher IOS Press Place of Publication Amsterdam, The Netherlands Editor  
  Language Summary Language Original Title  
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  Area Expedition Conference (up)  
  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ HGR2005c Serial 1549  
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