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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title  |
3D Gait Estimation from Monoscopic Video |
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2004 |
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IEEE International Conference on Image Processing |
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Singapore |
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ADAS |
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ADAS @ adas @ SAM2004c |
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495 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title |
3D Human Walking Modelling |
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2004 |
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Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:111–122 |
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Springer-Verlag, Berlin, Heidelberg |
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ADAS @ adas @ SAM2004b |
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494 |
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Author |
Fernando Vilariño; Debora Gil; Petia Radeva |
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Title |
A Novel FLDA Formulation for Numerical Stability Analysis |
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2004 |
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Recent Advances in Artificial Intelligence Research and Development |
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113 |
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77-84 |
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Supervised Learning; Linear Discriminant Analysis; Numerical Stability; Computer Vision |
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Fisher Linear Discriminant Analysis (FLDA) is one of the most popular techniques used in classification applying dimensional reduction. The numerical scheme involves the inversion of the within-class scatter matrix, which makes FLDA potentially ill-conditioned when it becomes singular. In this paper we present a novel explicit formulation of FLDA in terms of the eccentricity ratio and eigenvector orientations of the within-class scatter matrix. An analysis of this function will characterize those situations where FLDA response is not reliable because of numerical instability. This can solve common situations of poor classification performance in computer vision. |
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IOS Press |
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J. Vitrià, P. Radeva and I. Aguiló |
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978-1-58603-466-5 |
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MV;IAM;MILAB;SIAI |
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IAM @ iam @ VGR2004 |
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1663 |
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Author |
Yong Xu; Jing-Yu Yang; Zhong Jin |
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A novel method for Fisher discriminant analysis |
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2004 |
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Pattern Recognition, 37(2):381–384 (IF: 2.176) |
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Admin @ si @ XYJ2004 |
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481 |
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Author |
Gemma Sanchez; Ernest Valveny; Josep Llados; Joan Mas; N. Lozano |
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Title |
A platform to extract knowledge from graphic documents. Application to an architectural sketch understanding scenario |
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Miscellaneous |
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2004 |
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Document Analysis Systems VI, S. Marinai, A. Dengel (Eds.) Lecture Notes in Computer Science, 3163:389–400 |
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Springer-Verlag |
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DAG |
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DAG @ dag @ SVL2004 |
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460 |
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Author |
Debora Gil; Petia Radeva |
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Title |
A Regularized Curvature Flow Designed for a Selective Shape Restoration |
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Journal Article |
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Year |
2004 |
Publication |
IEEE Transactions on Image Processing |
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13 |
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1444–1458 |
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Geometric flows, nonlinear filtering, shape recovery. |
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Among all filtering techniques, those based exclu- sively on image level sets (geometric flows) have proven to be the less sensitive to the nature of noise and the most contrast preserving. A common feature to existent curvature flows is that they penalize high curvature, regardless of the curve regularity. This constitutes a major drawback since curvature extreme values are standard descriptors of the contour geometry. We argue that an operator designed with shape recovery purposes should include a term penalizing irregularity in the curvature rather than its magnitude. To this purpose, we present a novel geometric flow that includes a function that measures the degree of local irregularity present in the curve. A main advantage is that it achieves non-trivial steady states representing a smooth model of level curves in a noisy image. Performance of our approach is compared to classical filtering techniques in terms of quality in the restored image/shape and asymptotic behavior. We empirically prove that our approach is the technique that achieves the best compromise between image quality and evolution stabilization. |
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IAM;MILAB |
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BCNPCL @ bcnpcl @ GiR2004b |
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491 |
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Author |
Oriol Pujol |
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Title |
A semi-Supervised Statistical Framework and Generative Snakes for IVUS Analysis |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB), Bellaterra |
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Ph.D. thesis |
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Petia Radeva |
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HuPBA;MILAB |
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BCNPCL @ bcnpcl @ Puj2004 |
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512 |
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Author |
O. Rodriguez; David Rotger; J. Mauri; E. Fernandez; V. Valle; Petia Radeva |
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Active vessel workstation: three-dimensional reconstruction of coronary arteries by fusion of angiography and intravascular ultrasound |
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2004 |
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European Society of Cardiology Congress 2004 |
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Munich |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RRM2004a |
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479 |
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Author |
Oriol Pujol; Petia Radeva; Jordi Vitria; J. Mauri |
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Title |
Adaboost to Classify Plaque Appearance in IVUS Images |
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Miscellaneous |
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2004 |
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Progress in Pattern Recognition, Image Analysis and Applications, LNCS 3287:629–636 |
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Puebla (Mexico) |
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OR;MILAB;HuPBA;MV |
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BCNPCL @ bcnpcl @ PRV2004 |
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472 |
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Maya Dimitrova; Petia Radeva; David Rotger; D. Boyadjiev; Juan J. Villanueva |
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Advanced Cardiological Diagnosis via Intelligent Image Analysis |
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Miscellaneous |
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2004 |
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Varna (Bulgaria) |
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MILAB |
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BCNPCL @ bcnpcl @ DRR2004 |
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477 |
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Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis |
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Advances in Vision-Based Human Body Modeling |
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2004 |
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3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body |
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1-26 |
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N. Sarris and M. Strintzis. |
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1-59140-299-9 |
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ADAS @ adas @ SAG2004a |
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458 |
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Author |
Zhong Jin; Franck Davoine; Zhen Lou |
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An Effective EM Algorithm for PCA Mixture Model |
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2004 |
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Structural and Statistical Pattern Recognition, Lecture Notes in Computer Science, 3138:626–634 |
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Lisbon, Portugal |
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Admin @ si @ JDL2004 |
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482 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Analysis of Human Walking Based on aSpaces |
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2004 |
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Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:177–188 |
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Springer-Verlag, Berlin, Heidelberg |
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ISE @ ise @ GVR2004a |
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492 |
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Aura Hernandez-Sabate; Debora Gil; Petia Radeva; E.N.Nofrerias |
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Anisotropic processing of image structures for adventitia detection in intravascular ultrasound images |
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2004 |
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Proc. Computers in Cardiology |
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31 |
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229-232 |
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The adventitia layer appears as a weak edge in IVUS images with a non-uniform grey level, which difficulties its detection. In order to enhance edges, we apply an anisotropic filter that homogenizes the grey level along the image significant structures (ridges, valleys and edges). A standard edge detector applied to the filtered image yields a set of candidate points prone to be unconnected. The final model is obtained by interpolating the former line segments along the tangent direction to the level curves of the filtered image with an anisotropic contour closing technique based on functional extension principles |
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Chicago (USA) |
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IAM; MILAB |
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IAM @ iam @ HGR2004 |
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1555 |
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Angel Sappa |
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Automatic Extraction of Planar Projections from Panoramic Range Images |
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2004 |
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IEEE Int. Symp. on 3D Data Processing, Visualization and Transmission |
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Thessaloniki (Greece) |
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ADAS @ adas @ Sap2004a |
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454 |
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