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Author I. King; Zhong Jin edit  openurl
  Title Integrated Probability Function and Its Application to Content-Based Image Retrieval By Relevance Feedback Type Journal
  Year (up) 2003 Publication Pattern Recognition, 36(9): 2177–2186 (IF: 1.611) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ KiJ2003 Serial 427  
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Author X. Jing; David Zhang; Zhong Jin edit  openurl
  Title Improvements on the uncorrelated optimal discriminant vectors Type Journal
  Year (up) 2003 Publication Pattern Recognition, 36(8): 1921–1923 (IF: 1.611) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ JZJ2003a Serial 428  
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Author X. Jing; David Zhang; Zhong Jin edit  openurl
  Title Improved algorithm and generalized theory Type Journal
  Year (up) 2003 Publication Pattern Recognition, 36(11): 2593–2602 (IF: 1.611) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ JZJ2003b Serial 429  
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Author Yong Xu; Jing-Yu Yang; Zhong Jin edit  openurl
  Title Theory analysis on FSLDA and ULDA Type Journal
  Year (up) 2003 Publication Pattern Recognition, 36(12): 3031–3033 (IF: 1.611) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ XYJ2003 Serial 430  
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Author Zhong Jin; Franck Davoine; Zhen Lou edit  openurl
  Title Facial expression analysis by using KPCA Type Miscellaneous
  Year (up) 2003 Publication IEEE International Conference on Robotics, Intelligent Systems and Signal Processing (IEEE RISSP 2003), pp736–741 Abbreviated Journal  
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  Address Changsha, Hunan, China  
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  Notes Approved no  
  Call Number Admin @ si @ JDL2003 Serial 431  
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Author Oriol Pujol; Petia Radeva edit  openurl
  Title Texture Segmentation by Statistic Deformable Models Type Journal
  Year (up) 2003 Publication International Journal of Image and Graphics (IJIG) Abbreviated Journal  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2003 Serial 432  
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Author Oriol Ramos Terrades edit  openurl
  Title Descripcio i classificacio de simbols tecnics usant la transformada de crestetes Type Report
  Year (up) 2003 Publication CVC Technical Report #74 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ Ram2003 Serial 517  
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Author David Alcalde edit  openurl
  Title Image classification in terms of rotation-invariant pattern matching Type Report
  Year (up) 2003 Publication CVC Technical Report #73 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes Approved no  
  Call Number Admin @ si @ Alc2003 Serial 518  
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Author David Masip edit  openurl
  Title Dimensionality reduction techniques applied to nearest neighbor classification Type Report
  Year (up) 2003 Publication CVC Technical Report #72 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes OR;MV Approved no  
  Call Number Admin @ si @ Mas2003 Serial 519  
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Author Misael Rosales; Petia Radeva edit  openurl
  Title Empirical simulation model of intravascular ultrasound Type Report
  Year (up) 2003 Publication CVC Technical Report #71 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RoR2003 Serial 520  
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Author J.L. Pech-Pacheco; J. Alvarez-Borrego; Gabriel Cristobal; Matthias S. Keil edit  openurl
  Title Automatic object identification irrespective to geometric changes Type Journal
  Year (up) 2003 Publication Optical Engineering, 42(2): 551–559 (IF: 0.877) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ PAC2003 Serial 632  
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Author Jaume Garcia; David Rotger; Francesc Carreras; R.Leta; Petia Radeva edit   pdf
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  Title Contrast echography segmentation and tracking by trained deformable models Type Conference Article
  Year (up) 2003 Publication Proc. Computers in Cardiology Abbreviated Journal  
  Volume 30 Issue Pages 173-176  
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  Abstract The objective of this work is to segment the human left ventricle myocardium (LVM) in contrast echocardiography imaging and thus track it along a cardiac cycle in order to extract quantitative data about heart function. Ultrasound images are hard to work with due to their speckle appearance. To overcome this we report the combination of active contour models (ACM) or snakes and active shape models (ASM). The ability of ACM in giving closed and smooth curves in addition to the power of the ASM in producing shapes similar to the ones learned, evoke to a robust algorithm. Meanwhile the snake is attracted towards image main features, ASM acts as a correction factor. The algorithm was tested independently on 180 frames and satisfying results were obtained: in 95% the maximum difference between automatic and experts segmentation was less than 12 pixels.  
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  Publisher Place of Publication Centre de Visió per Computador – Dept. Informàtica, UAB Edifici O – Campus UAB, 08193 Bellater Editor  
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  Series Volume Series Issue Edition  
  ISSN 0276-6547 ISBN 0-7803-8170-X Medium  
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  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ GRC2003 Serial 1512  
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Author Debora Gil; Petia Radeva edit  openurl
  Title Curvature based Distance Maps Type Report
  Year (up) 2003 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue 70 Pages  
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  Publisher Computer Vision Center Place of Publication Editor  
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  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ GIR2003a Serial 1534  
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Author Debora Gil; Petia Radeva edit   pdf
url  doi
isbn  openurl
  Title Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling Type Book Chapter
  Year (up) 2003 Publication Energy Minimization Methods In Computer Vision And Pattern Recognition Abbreviated Journal LNCS  
  Volume 2683 Issue Pages 357-372  
  Keywords Initial condition; Convex shape; Non convex analysis; Increase; Segmentation; Gradient; Standard; Standards; Concave shape; Flow models; Tracking; Edge detection; Curvature  
  Abstract Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represents a force that pushes the snake into concave regions, as its internal energy increases when new inexion points are created. In spite of the improvement of the external energy by the gradient vector ow technique, highly non convex shapes can not be obtained, yet. In the present paper, we develop a new external energy based on the geometry of the curve to be modelled. By tracking back the deformation of a curve that evolves by minimum curvature ow, we construct a distance map that encapsulates the natural way of adapting to non convex shapes. The gradient of this map, which we call curvature vector ow (CVF), is capable of attracting a snake towards any contour, whatever its geometry. Our experiments show that, any initial snake condition converges to the curve to be modelled in optimal time.  
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  Publisher Springer, Berlin Place of Publication Lisbon, PORTUGAL Editor Springer, B.  
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  Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 3-540-40498-8 Medium  
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  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ GIR2003b Serial 1535  
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Author Debora Gil; Petia Radeva; Fernando Vilariño edit   pdf
isbn  openurl
  Title Anisotropic Contour Completion Type Conference Article
  Year (up) 2003 Publication Proceedings of the IEEE International Conference on Image Processing Abbreviated Journal  
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  Abstract In this paper we introduce a novel application of the diffusion tensor for anisotropic image processing. The Anisotropic Contour Completion (ACC) we suggest consists in extending the characteristic function of the open curve by means of a degenerated diffusion tensor that prevents any diffusion in the normal direction. We show that ACC is equivalent to a dilation with a continuous elliptic structural element that takes into account the local orientation of the contours to be closed. Experiments on contours extracted from real images show that ACC produces shapes able to adapt to any curve in an active contour framework. 1.  
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  Publisher Place of Publication Barcelona, Spain Editor  
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  ISSN ISBN 0-7803-7751-6 Medium  
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  Notes IAM;MV;MILAB;SIAI Approved no  
  Call Number IAM @ iam @ GRV2003 Serial 1539  
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