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Oriol Pujol, Debora Gil, & Petia Radeva. (2005). Fundamentals of Stop and Go active models. Image and Vision Computing, 23(8), 681–691.
Abstract: An efficient snake formulation should conform to the idea of picking the smoothest curve among all the shapes approximating an object of interest. In current geodesic snakes, the regularizing curvature also affects the convergence stage, hindering the latter at concave regions. In the present work, we make use of characteristic functions to define a novel geodesic formulation that decouples regularity and convergence. This term decoupling endows the snake with higher adaptability to non-convex shapes. Convergence is ensured by splitting the definition of the external force into an attractive vector field and a repulsive one. In our paper, we propose to use likelihood maps as approximation of characteristic functions of object appearance. The better efficiency and accuracy of our decoupled scheme are illustrated in the particular case of feature space-based segmentation.
Keywords: Deformable models; Geodesic snakes; Region-based segmentation
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Enric Marti, Debora Gil, & Carme Julia. (2005). Una experiència en PBL per a la docència de Gràfics per Computador.
Abstract: En aquest article es presenta una experiència en ABP feta el curs 2004-05 en Gràfics per Computador 2, assignatura optativa de 3er curs d’Enginyeria Informàtica impartida a l’ETSE. En l’article s’explica l’organització docent abans d’ABP, basada en classes magistrals. Després es mostra l’organització en ABP i es quantifica en ECTS l’esforç de l’alumne en ambdues organitzacions. Essent conscient del diferent interès de l’alumnat per l’assignatura, se’ls hi ofereix dos itineraris: el de classes magistrals i d’ABP. Es mostren alguns resultats dels alumnes d’ABP i també les primeres enquestes realitzades als alumnes. S’exposen les conclusions en el primer any de l’experiència, plantejant temes de discussió. S’ha procurat que la proposta no desbordi l’esforç del professorat. Per això s’ofereix el doble itinerari, per a canalitzar per ABP els alumnes més interessats i permetre a la resta que realitzin el curs amb l’organització clàsica de l’assignatura: classes magistrals de teoria, problemes i pràctiques.
Keywords: Aprenentatge Basat en Projectes; Aprenentatge Basat en Problemes; Problem Based Learning; ECTS; EEES; Computer Graphics; OpenGL.
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Agata Lapedriza, David Masip, & Jordi Vitria. (2005). Are external face features useful for automatic face classification?.
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Juan Andrade, & A. Sanfeliu. (2005). The effects of partial observability when building fully correlated maps. IEEE Transactions on Robotics, 21(4):771–777 (IF: 1.486).
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Jian Yang, Alejandro F. Frangi, Jing-Yu Yang, David Zhang, & Zhong Jin. (2005). KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(2):230–244 (IF: 3.810).
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Cristina Cañero, Nikolaos Thomos, George A. Triantafyllid, George C. Litos, & Michael G. Strintzis. (2005). Mobile Tele-echography: User Interface Design. IEEE Transactions on Information Technology in Biomedicine, 9(1):44–49 (IF: 1.376).
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Xavier Otazu, M. Gonzalez-Audicana, O. Fors, & J. Nuñez. (2005). Introduction of Sensor Spectral Response Into Image Fusion Methods. Application to Wavelet-Based Methods. IEEE Transactions on Geoscience and Remote Sensing, 43(10): 2376–2385 (IF: 1.627).
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Angel Sappa. (2005). Efficient Closed Contour Extraction from Range Image Edge Points.
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Fadi Dornaika, & Franck Davoine. (2005). SFM for planar scenes using image derivatives.
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Fadi Dornaika, & Franck Davoine. (2005). Facial expression recognition in continuous videos using dynamic programming.
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Jaume Amores, N. Sebe, & Petia Radeva. (2005). Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors.
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Elena Valderrama, Joan Oliver, Josep Maria-Basart, Enric Marti, Petia Radeva, Ricardo Toledo, et al. (2005). Convergencia al EEES de la ingeniería informática. Título de Grado en tecnología (Informática).
Abstract: Elena Valderrama
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Misael Rosales, Petia Radeva, Oriol Rodriguez, & Debora Gil. (2005). Suppression of IVUS Image Rotation. A Kinematic Approach. In Monica Andres and Hernandez Petia and Santos A. and R. Frangi (Ed.), Functional Imaging and Modeling of the Heart (Vol. 3504, pp. 889–892). LNCS, 3504. Springer Berlin / Heidelberg.
Abstract: IntraVascular Ultrasound (IVUS) is an exploratory technique used in interventional procedures that shows cross section images of arteries and provides qualitative information about the causes and severity of the arterial lumen narrowing. Cross section analysis as well as visualization of plaque extension in a vessel segment during the catheter imaging pullback are the technique main advantages. However, IVUS sequence exhibits a periodic rotation artifact that makes difficult the longitudinal lesion inspection and hinders any segmentation algorithm. In this paper we propose a new kinematic method to estimate and remove the image rotation of IVUS images sequences. Results on several IVUS sequences show good results and prompt some of the clinical applications to vessel dynamics study, and relation to vessel pathology.
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Susana Alvarez, Xavier Otazu, & Maria Vanrell. (2005). Image Segmentation Based on Inter-Feature Distance Maps. In Frontiers in Artificial Intelligence and Applications, IOS Press, 131: 75–82.
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Xavier Baro, & Jordi Vitria. (2005). Feature Selection with Non-Parametric Mutual Information for Adaboost Learning. In Frontiers in Artificial Intelligence and Applications / Artificial intelligence Research and Development, 131:131–138, Eds: B. Lopez, J. Melendez, P. Radeva, J. Vitria, IOS Press, ISBN: 1–58603–560–6.
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