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| Author |
Jian Yang; Zhong Jin; Jing-Yu Yang; David Zhang; Alejandro F. Frangi |
| Title |
Essence of kernel Fisher discriminant: KPCA plus LDA |
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2004 |
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Pattern Recognition, 37(10): 2097–2100 (IF: 2.176) |
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no |
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Admin @ si @ YJY2004 |
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480 |
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| Author |
Yong Xu; Jing-Yu Yang; Zhong Jin |
| Title |
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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no |
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Admin @ si @ XYJ2004 |
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481 |
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| Author |
Zhong Jin; Franck Davoine; Zhen Lou |
| Title |
An Effective EM Algorithm for PCA Mixture Model |
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Miscellaneous |
| Year |
2004 |
Publication |
Structural and Statistical Pattern Recognition, Lecture Notes in Computer Science, 3138:626–634 |
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Lisbon, Portugal |
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no |
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Admin @ si @ JDL2004 |
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482 |
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
| Title |
Estimation of Fuzzy Sets for Computational Colour Categorization |
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2004 |
Publication |
Color Research and Application, 29(5):342–353 (IF: 0.739) |
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CIC |
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no |
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CAT @ cat @ BVB2004 |
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484 |
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| Author |
Debora Gil; Petia Radeva |
| Title |
A Regularized Curvature Flow Designed for a Selective Shape Restoration |
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Journal Article |
| 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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no |
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BCNPCL @ bcnpcl @ GiR2004b |
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491 |
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| Author |
Jordi Gonzalez; J. Varona; Xavier Roca; Juan J. Villanueva |
| Title |
Analysis of Human Walking Based on aSpaces |
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Miscellaneous |
| Year |
2004 |
Publication |
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 |
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no |
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ISE @ ise @ GVR2004a |
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492 |
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| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
| Title |
3D Human Walking Modelling |
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| Year |
2004 |
Publication |
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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no |
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ADAS @ adas @ SAM2004b |
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494 |
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| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
| Title |
3D Gait Estimation from Monoscopic Video |
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2004 |
Publication |
IEEE International Conference on Image Processing |
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Singapore |
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ADAS |
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no |
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ADAS @ adas @ SAM2004c |
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495 |
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| Author |
Jordi Gonzalez; J. Varona; Xavier Roca; Juan J. Villanueva |
| Title |
Situation Graph Trees for Human Behavior Modeling |
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2004 |
Publication |
7th Catalan Conference for Artificial Intelligence (CCIA’2004) |
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Barcelona (Spain) |
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ISE |
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no |
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ISE @ ise @ GVR2004b |
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498 |
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| Author |
Zhong Jin; Franck Davoine |
| Title |
Orthogonal ICA Representation Of Images |
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Miscellaneous |
| Year |
2004 |
Publication |
8th International Conference on Control, Automation, Robotics and Vision, 369–374 |
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Kunming (China) |
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no |
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Admin @ si @ JiD2004 |
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499 |
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| Author |
Oriol Ramos Terrades; Salvatore Tabbone; L. Wendling; Ernest Valveny |
| Title |
Symbol Recognition based on a Multiresolution Analysis of the Radon Transform |
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2004 |
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The International Workshop on Multidisciplinary Image, Video, and Audio Retrieval and Mining |
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Sherbrooke (Canada) |
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DAG |
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no |
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DAG @ dag @ RTW2004 |
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500 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Symbol Recognition Contest: A Synthesis |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:368–386, ISBN: 3–540–22478–5 |
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Springer-Verlag |
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DAG |
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no |
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DAG @ dag @ VaD2004b |
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501 |
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Ernest Valveny; Philippe Dosch |
| Title |
Performance Evaluation of Symbol Recognition |
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2004 |
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Document Analysis Systems |
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LNCS |
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3163 |
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354–365 |
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Springer-Verlag |
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S. Marinai, A. Dengel (Eds.), |
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3-540-23060-2 |
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DAG |
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no |
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DAG @ dag @ VaD2004a |
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502 |
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| Author |
Oriol Ramos Terrades; Ernest Valveny |
| Title |
Indexing Technical Symbols Using Ridgelets Transform |
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Miscellaneous |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:177–187, ISBN: 3–540–22478–5 |
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DAG |
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DAG @ dag @ VaD2004c |
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503 |
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| Author |
Oriol Pujol; Petia Radeva |
| Title |
Texture Segmentation by Statistical Deformable Models |
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2004 |
Publication |
International Journal of Image and Graphics |
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IJIG |
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4 |
Issue |
3 |
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433-452 |
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Texture segmentation, parametric active contours, statistic snakes |
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Deformable models have received much popularity due to their ability to include high-level knowledge on the application domain into low-level image processing. Still, most proposed active contour models do not sufficiently profit from the application information and they are too generalized, leading to non-optimal final results of segmentation, tracking or 3D reconstruction processes. In this paper we propose a new deformable model defined in a statistical framework to segment objects of natural scenes. We perform a supervised learning of local appearance of the textured objects and construct a feature space using a set of co-occurrence matrix measures. Linear Discriminant Analysis allows us to obtain an optimal reduced feature space where a mixture model is applied to construct a likelihood map. Instead of using a heuristic potential field, our active model is deformed on a regularized version of the likelihood map in order to segment objects characterized by the same texture pattern. Different tests on synthetic images, natural scene and medical images show the advantages of our statistic deformable model. |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ PuR2004a |
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505 |
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