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Matthias S. Keil, & Gabriel Cristobal. (2000). Separating the chaff from the wheat: possible origins of the oblique effect. Journal of the Optical Society of America A – Optics, Image Science, and Vision, 17(4): 697–710 (IF: 1.481).
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Xavier Otazu, & Maria Vanrell. (2006). Several lightness induction effects with a computational multiresolution wavelet framework. 29th European Conference on Visual Perception (ECVP’06), Perception Suppl s, 32: 56–56.
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David Masip, & Jordi Vitria. (2008). Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Transactions on Neural Networks, 586–595.
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J.M. Sanchez, X. Binefa, & Jordi Vitria. (2002). Shot Partitioning Based Recognition of Tv Commercials. Multimedia Tools and Applications, 18: 233–247, Kluwer Academic Publishers (IF: 0.421).
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Matthias S. Keil. (2006). Smooth Gradient Representations as a Unifying Account of Chevreul’s Illusion, Mach Bands, and a Variant of the Ehrenstein Disk. NEURALCOMPUT - Neural Computation, 871–903.
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Mikhail Mozerov, Ariel Amato, Xavier Roca, & Jordi Gonzalez. (2009). Solving the Multi Object Occlusion Problem in a Multiple Camera Tracking System. Pattern Recognition and Image Analysis, 165–171.
Abstract: An efficient method to overcome adverse effects of occlusion upon object tracking is presented. The method is based on matching paths of objects in time and solves a complex occlusion-caused problem of merging separate segments of the same path.
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Josep Llados, & Dorothea Blostein. (2007). Special Issue on Graphics Recognition. IJDAR - International Journal on Document Analysis and Recognition, 1–2.
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Josep Llados, J. Lopez-Krahe, & D. Archambault. (2007). Special Issue on Information Technologies for Visually Impaired People. Novatica, 4–7.
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Angel Sappa. (2006). Splitting up Panoramic Range Images into Compact 2½D Representations. International Journal of Imaging Systems and Technology, 16(3): 85–91.
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R. Clariso, David Masip, & A. Rius. (2014). Student projects empowering mobile learning in higher education. RUSC - Revista de Universidad y Sociedad del Conocimiento, 192–207.
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Sergio Escalera, David M.J. Tax, Oriol Pujol, Petia Radeva, & Robert P.W. Duin. (2008). Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(6):1041–1054.
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Amir A.Amini, Yasheng Chen, Mohamed Elayyadi, & Petia Radeva. (2001). Tag Surface Reconstruction and Tracking of Myocardial Beads from SPAMM-MRI with Parametric B-Spline Surfaces. TMI - IEEE Transactions on Medical Imaging, 94–103.
Abstract: Magnetic resonance imaging (MRI) is unique in its ability to noninvasively and selectively alter tissue magnetization, and create tag planes intersecting image slices. The resulting grid of signal voids allows for tracking deformations of tissues in otherwise homogeneous-signal myocardial regions. In this paper, we propose a specific spatial modulation of magnetization (SPAMM) imaging protocol together with efficient techniques for measurement of three-dimensional (3-D) motion of material points of the human heart (referred to as myocardial beads) from images collected with the SPAMM method. The techniques make use of tagged images in orthogonal views by explicitly reconstructing 3-D B-spline surface representation of tag planes (tag planes in two orthogonal orientations intersecting the short-axis (SA) image slices and tag planes in an orientation orthogonal to the short-axis tag planes intersecting long-axis (LA) image slices). The developed methods allow for viewing deformations of 3-D tag surfaces, spatial correspondence of long-axis and short-axis image slice and tag positions, as well as nonrigid movement of myocardial beads as a function of time.
Keywords: B-spline surfaces, cardiac motion, myocardial beads, myocardial infarction, tagged MRI.
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Oriol Pujol, & Petia Radeva. (2003). Texture Segmentation by Statistic Deformable Models. International Journal of Image and Graphics (IJIG).
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Oriol Pujol, & Petia Radeva. (2004). Texture Segmentation by Statistical Deformable Models. IJIG - International Journal of Image and Graphics, 433–452.
Abstract: 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.
Keywords: Texture segmentation, parametric active contours, statistic snakes
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Joana Maria Pujadas-Mora, Alicia Fornes, Oriol Ramos Terrades, Josep Llados, Jialuo Chen, Miquel Valls-Figols, et al. (2022). The Barcelona Historical Marriage Database and the Baix Llobregat Demographic Database. From Algorithms for Handwriting Recognition to Individual-Level Demographic and Socioeconomic Data. HLCS - Historical Life Course Studies, 99–132.
Abstract: The Barcelona Historical Marriage Database (BHMD) gathers records of the more than 600,000 marriages celebrated in the Diocese of Barcelona and their taxation registered in Barcelona Cathedral's so-called Marriage Licenses Books for the long period 1451–1905 and the BALL Demographic Database brings together the individual information recorded in the population registers, censuses and fiscal censuses of the main municipalities of the county of Baix Llobregat (Barcelona). In this ongoing collection 263,786 individual observations have been assembled, dating from the period between 1828 and 1965 by December 2020. The two databases started as part of different interdisciplinary research projects at the crossroads of Historical Demography and Computer Vision. Their construction uses artificial intelligence and computer vision methods as Handwriting Recognition to reduce the time of execution. However, its current state still requires some human intervention which explains the implemented crowdsourcing and game sourcing experiences. Moreover, knowledge graph techniques have allowed the application of advanced record linkage to link the same individuals and families across time and space. Moreover, we will discuss the main research lines using both databases developed so far in historical demography.
Keywords: Individual demographic databases; Computer vision, Record linkage; Social mobility; Inequality; Migration; Word spotting; Handwriting recognition; Local censuses; Marriage Licences
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