Josep Llados, Dimosthenis Karatzas, Joan Mas, & Gemma Sanchez. (2008). A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives. Journal of Universal Computer Science, 2912–2935.
Keywords: Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition
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Robert Benavente, Maria Vanrell, & Ramon Baldrich. (2008). Parametric Fuzzy Sets for Automatic Color Naming. Journal of the Optical Society of America A, 2582–2593.
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E. Provenzi, Carlo Gatta, M. Fierro, & A. Rizzi. (2008). A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Constant. TPAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, 1757–1770.
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Fadi Dornaika, & Bogdan Raducanu. (2008). Detecting and Tracking of 3D Face Pose for Human-Robot Interaction. In IEEE International Conference on Robotics and Automation, (1716–1721).
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Carme Julia, Angel Sappa, Felipe Lumbreras, & Joan Serrat. (2008). Photometric Stereo through and Adapted Alternation Approach. In IEEE International Conference on Image Processing, (1500–1503).
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Aura Hernandez-Sabate, David Rotger, & Debora Gil. (2008). Image-based ECG sampling of IVUS sequences. In Proc. IEEE Ultrasonics Symp. IUS 2008 (pp. 1330–1333).
Abstract: Longitudinal motion artifacts in IntraVascular UltraSound (IVUS) sequences hinders a properly 3D reconstruction and vessel measurements. Most of current techniques base on the ECG signal to obtain a gated pullback without the longitudinal artifact by using a specific hardware or the ECG signal itself. The potential of IVUS images processing for phase retrieval still remains little explored. In this paper, we present a fast forward image-based algorithm to approach ECG sampling. Inspired on the fact that maximum and minimum lumen areas are related to end-systole and end-diastole, our cardiac phase retrieval is based on the analysis of tissue density of mass along the sequence. The comparison between automatic and manual phase retrieval (0.07 ± 0.07 mm. of error) encourages a deep validation contrasting with ECG signals.
Keywords: Longitudinal Motion; Image-based ECG-gating; Fourier analysis
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Carolina Malagelada, Fosca De Iorio, Fernando Azpiroz, Anna Accarino, Santiago Segui, Petia Radeva, et al. (2008). New Insight Into Intestinal Motor Function via Noninvasive Endoluminal Image Analysis. Gastroenterology, 1155–1162.
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Jose Manuel Alvarez, Antonio Lopez, & Ramon Baldrich. (2008). Illuminant Invariant Model-Based Road Segmentation. In IEEE Intelligent Vehicles Symposium, (1155–1180).
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Bogdan Raducanu, & Jordi Vitria. (2008). Learning to Learn: From Smarts Machines to Intelligent Machines. PRL - Patter Recognition Letters, 1024–1032.
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Fadi Dornaika, & Bogdan Raducanu. (2008). Constructing Panoramic Views Through Facial Gaze Tracking. In IEEE International Conference on Multimedia and Expo, (969–972).
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Bogdan Raducanu, & Jordi Vitria. (2008). Face Recognition by Artificial Vision Systems: A Cognitive Perspective. IJPRAI - International Journal of Pattern Recognition and Artificial Intelligence, 899–913.
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Jose Manuel Alvarez, & Antonio Lopez. (2008). Novel Index for Objective Evaluation of Road Detection Algorithms. In Intelligent Transportation Systems. 11th International IEEE Conference on, (815–820).
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Fadi Dornaika, & Angel Sappa. (2008). Real Time on Board Stereo Camera Pose through Image Registration. In IEEE Intelligent Vehicles Symposium, (804–809).
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Jaume Garcia, Debora Gil, A.Bajo, M.J.Ledesma-Carbayo, & C.SantaMarta. (2008). Influence of the temporal resolution on the quantification of displacement fields in cardiac magnetic resonance tagged images. In Alan Murray (Ed.), Proc. Computers in Cardiology (Vol. 35, pp. 785–788).
Abstract: It is difficult to acquire tagged cardiac MR images with a high temporal and spatial resolution using clinical MR scanners. However, if such images are used for quantifying scores based on motion, it is essential a resolution as high as possible. This paper explores the influence of the temporal resolution of a tagged series on the quantification of myocardial dynamic parameters. To such purpose we have designed a SPAMM (Spatial Modulation of Magnetization) sequence allowing acquisition of sequences at simple and double temporal resolution. Sequences are processed to compute myocardial motion by an automatic technique based on the tracking of the harmonic phase of tagged images (the Harmonic Phase Flow, HPF). The results have been compared to manual tracking of myocardial tags. The error in displacement fields for double resolution sequences reduces 17%.
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Xavier Otazu, Maria Vanrell, & C. Alejandro Parraga. (2008). Multiresolution Wavelet Framework Models Brightness Induction Effects. VR - Vision Research, 733–751.
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