Joan Mas, Gemma Sanchez, & Josep Llados. (2005). An Adjacency Grammar to Recognize Symbols and Gestures in a Digital Pen Framework. In Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 115–122.
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A. Sanfeliu, & Juan J. Villanueva. (2005). An approach of visual motion analysis. PRL - Pattern Recognition Letters, 26(3), 355–368.
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David Masip, Ludmila I. Kuncheva, & Jordi Vitria. (2005). An ensemble-based method for linear feature extraction for two-class problems. Pattern Analysis and Applications, 8(3): 227–237 (IF: 0.782).
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Joan Mas, Gemma Sanchez, & Josep Llados. (2005). An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars.
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Jaume Garcia, Joel Barajas, Francesc Carreras, Sandra Pujades, & Petia Radeva. (2005). An intuitive validation technique to compare local versus global tagged MRI analysis. In Computers In Cardiology (Vol. 32, 29–32).
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
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Alicia Fornes. (2005). Analysis of Old Handwritten Musical Scores.
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Joel Barajas, Jaume Garcia, Francesc Carreras, Sandra Pujades, & Petia Radeva. (2005). Angle Images Using Gabor Filters in Cardiac Tagged MRI. In Proceeding of the 2005 conference on Artificial Intelligence Research and Development (pp. 107–114). Amsterdam, The Netherlands: IOS Press.
Abstract: Tagged Magnetic Resonance Imaging (MRI) is a non-invasive technique used to examine cardiac deformation in vivo. An Angle Image is a representation of a Tagged MRI which recovers the relative position of the tissue respect to the distorted tags. Thus cardiac deformation can be estimated. This paper describes a new approach to generate Angle Images using a bank of Gabor filters in short axis cardiac Tagged MRI. Our method improves the Angle Images obtained by global techniques, like HARP, with a local frequency analysis. We propose to use the phase response of a combination of a Gabor filters bank, and use it to find a more precise deformation of the left ventricle. We demonstrate the accuracy of our method over HARP by several experimental results.
Keywords: Angle Images, Gabor Filters, Harp, Tagged Mri
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Fadi Dornaika, & Angel Sappa. (2005). Appearance-based 3D Face Tracker: An Evaluation Study.
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Agata Lapedriza, David Masip, & Jordi Vitria. (2005). Are external face features useful for automatic face classification?.
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Ignasi Rius. (2005). Articulated 3D Human Motion Moldeling for Tracking and Reconstruction.
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S. Garcia, Dani Rowe, Jordi Gonzalez, & Juan J. Villanueva. (2005). Articulated Object Modelling Using Neural Gas Networks.
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J. Elder, Fadi Dornaika, Y. Hou, & R. Goldstein. (2005). Attentive wide-field sensing for visual telepresence and surveillance. In L. Itti, G. Rees and J. Tsotsos (editors), Neurobiology of Attention, Academic Press / Elsevier.
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Aura Hernandez-Sabate. (2005). Automatic adventitia segmentation in IntraVascular UltraSound images. Master's thesis, , 08193 Bellaterra, Barcelona (Spain).
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.
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Anton Cervantes. (2005). Biometric Newborn Identification.
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Anton Cervantes, Gemma Sanchez, Josep Llados, Agnes Borras, & A. Rodriguez. (2005). Biometric Recognition Based on Line Shape Descriptors. In Sixth IAPR International Workshop on Graphics Recognition (GREC 2005) (335–344).
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