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Author Petia Radeva; Judit Martinez; A. Tovar; X. Binefa; Jordi Vitria; Juan J. Villanueva edit  openurl
  Title CORKIDENT: an automatic vision system for real-time inspection of natural products. Type Journal Article
  Year 1999 Publication Abbreviated Journal  
  Volume Issue Pages (up)  
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  Abstract  
  Address Wales  
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  Area Expedition Conference  
  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RMT1999 Serial 23  
Permanent link to this record
 

 
Author Felipe Lumbreras; Joan Serrat edit  doi
openurl 
  Title Wavelet filtering for the segmentation of marble images. Type Journal Article
  Year 1996 Publication Optical Engineering Abbreviated Journal  
  Volume 35 Issue 10 Pages (up)  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ LuS1996a Serial 77  
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Author A. Martinez; Jordi Vitria edit  openurl
  Title A Development Plataform for Autonomous Agents. Type Journal Article
  Year 1995 Publication ASI–AA–95 – Practice and Future of Autonomous Agents. Abbreviated Journal  
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  Abstract  
  Address Monte Verita, Switzerland.  
  Corporate Author Thesis  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MaV1995b Serial 123  
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Author J. Mauri; E Fernandez-Nofrerias; A. Tovar; E. Martinez; L. Cano; V. Valle; David Rotger; Cristina Cañero; Petia Radeva edit  openurl
  Title Ecografia Intracoronaria: Un Nou Pas, la Fusio de Imatges amb la Angiografia, el Software. Type Journal Article
  Year 2001 Publication Revista de la Societat Catalana de Cardiologia, XIIIe Congres de la Societat Catalana de Cardiologia, 4(1):48. Abbreviated Journal  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ MFT2001 Serial 136  
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Author O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; C. Garcia; R. Villuendas; A. Tovar; A. Duran; V. Valle; Misael Rosales; Petia Radeva edit  openurl
  Title Model Empiric de Simulacio d Ecografia Intravascular Type Journal Article
  Year 2003 Publication Revista Societat Catalana de Cardiologia, 4(4):42, XIVe Congres de la Societat Catalana de Cardiologia Abbreviated Journal  
  Volume Issue Pages (up)  
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  Abstract  
  Address Barcelona  
  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2003e Serial 412  
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Author A.F. Sole; Antonio Lopez; G. Sapiro edit   pdf
openurl 
  Title Crease Enhancement Diffusion Type Journal Article
  Year 2001 Publication Computer Vision and Image Understanding, 84(2): 241–248 (IF: 1.298) Abbreviated Journal  
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  Abstract  
  Address New York; USA  
  Corporate Author Thesis  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SLS2001 Serial 485  
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Author Antonio Lopez; Ernest Valveny; Juan J. Villanueva edit  url
openurl 
  Title Real-time quality control of surgical material packaging by artificial vision Type Journal Article
  Year 2005 Publication Assembly Automation Abbreviated Journal  
  Volume 25 Issue 3 Pages (up)  
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  Abstract IF: 0.061)  
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  Notes ADAS;DAG Approved no  
  Call Number ADAS @ adas @ LVV2005 Serial 552  
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Author Mikhail Mozerov; Ignasi Rius; Xavier Roca; Jordi Gonzalez edit   pdf
url  doi
openurl 
  Title Nonlinear synchronization for automatic learning of 3D pose variability in human motion sequences Type Journal Article
  Year 2010 Publication EURASIP Journal on Advances in Signal Processing Abbreviated Journal EURASIPJ  
  Volume Issue Pages (up)  
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  Abstract Article ID 507247
A dense matching algorithm that solves the problem of synchronizing prerecorded human motion sequences, which show different speeds and accelerations, is proposed. The approach is based on minimization of MRF energy and solves the problem by using Dynamic Programming. Additionally, an optimal sequence is automatically selected from the input dataset to be a time-scale pattern for all other sequences. The paper utilizes an action specific model which automatically learns the variability of 3D human postures observed in a set of training sequences. The model is trained using the public CMU motion capture dataset for the walking action, and a mean walking performance is automatically learnt. Additionally, statistics about the observed variability of the postures and motion direction are also computed at each time step. The synchronized motion sequences are used to learn a model of human motion for action recognition and full-body tracking purposes.
 
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  Series Volume Series Issue Edition  
  ISSN 1110-8657 ISBN Medium  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ MRR2010 Serial 1208  
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Author Josep Llados; Enric Marti edit  openurl
  Title Graph-edit algorithms for hand-drawn graphical document recognition and their automatic introduction Type Journal Article
  Year 1999 Publication Machine Graphics & Vision journal, special issue on Graph transformation Abbreviated Journal  
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  Notes DAG;IAM Approved no  
  Call Number IAM @ iam @ LIM1999c Serial 1569  
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Author Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; C. Garcia; R. Villuendas; Vicente del Valle; Debora Gil; Petia Radeva edit  openurl
  Title Reconstruction of a spatio-temporal model of the intima layer from intravascular ultrasound sequences Type Journal Article
  Year 2003 Publication European Heart Journal Abbreviated Journal  
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  Area Expedition Conference ESC Congress  
  Notes IAM;MILAB Approved no  
  Call Number IAM @ iam @ RMF2003c Serial 1641  
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Author Wenjuan Gong; Jordi Gonzalez; Xavier Roca edit   pdf
doi  openurl
  Title Human Action Recognition based on Estimated Weak Poses Type Journal Article
  Year 2012 Publication EURASIP Journal on Advances in Signal Processing Abbreviated Journal EURASIPJ  
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  Abstract We present a novel method for human action recognition (HAR) based on estimated poses from image sequences. We use 3D human pose data as additional information and propose a compact human pose representation, called a weak pose, in a low-dimensional space while still keeping the most discriminative information for a given pose. With predicted poses from image features, we map the problem from image feature space to pose space, where a Bag of Poses (BOP) model is learned for the final goal of HAR. The BOP model is a modified version of the classical bag of words pipeline by building the vocabulary based on the most representative weak poses for a given action. Compared with the standard k-means clustering, our vocabulary selection criteria is proven to be more efficient and robust against the inherent challenges of action recognition. Moreover, since for action recognition the ordering of the poses is discriminative, the BOP model incorporates temporal information: in essence, groups of consecutive poses are considered together when computing the vocabulary and assignment. We tested our method on two well-known datasets: HumanEva and IXMAS, to demonstrate that weak poses aid to improve action recognition accuracies. The proposed method is scene-independent and is comparable with the state-of-art method.  
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  Notes ISE Approved no  
  Call Number Admin @ si @ GGR2012 Serial 2003  
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Author Mirko Arnold; Anarta Ghosh; Stephen Ameling; G Lacey edit  doi
openurl 
  Title Automatic segmentation and inpainting of specular highlights for endoscopic imaging Type Journal Article
  Year 2010 Publication EURASIP Journal on Image and Video Processing Abbreviated Journal EURASIP JIVP  
  Volume 2010 Issue 9 Pages (up)  
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  Area 800 Expedition Conference  
  Notes MV Approved no  
  Call Number fernando @ fernando @ Serial 2423  
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Author Victor Ponce; Mario Gorga; Xavier Baro; Petia Radeva; Sergio Escalera edit  url
openurl 
  Title Análisis de la expresión oral y gestual en proyectos fin de carrera vía un sistema de visión artificial Type Journal Article
  Year 2011 Publication ReVisión Abbreviated Journal  
  Volume 4 Issue 1 Pages (up)  
  Keywords  
  Abstract La comunicación y expresión oral es una competencia de especial relevancia en el EEES. No obstante, en muchas enseñanzas superiores la puesta en práctica de esta competencia ha sido relegada principalmente a la presentación de proyectos fin de carrera. Dentro de un proyecto de innovación docente, se ha desarrollado una herramienta informática para la extracción de información objetiva para el análisis de la expresión oral y gestual de los alumnos. El objetivo es dar un “feedback” a los estudiantes que les permita mejorar la calidad de sus presentaciones. El prototipo inicial que se presenta en este trabajo permite extraer de forma automática información audiovisual y analizarla mediante técnicas de aprendizaje. El sistema ha sido aplicado a 15 proyectos fin de carrera y 15 exposiciones dentro de una asignatura de cuarto curso. Los resultados obtenidos muestran la viabilidad del sistema para sugerir factores que ayuden tanto en el éxito de la comunicación así como en los criterios de evaluación.  
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  ISSN 1989-1199 ISBN Medium  
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  Notes HuPBA; MILAB;MV Approved no  
  Call Number Admin @ si @ PGB2011d Serial 2514  
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Author Francesco Ciompi; Simone Balocco; Juan Rigla; Xavier Carrillo; J. Mauri; Petia Radeva edit  doi
openurl 
  Title Computer-Aided Detection of Intra-Coronary Stent in Intravascular Ultrasound Sequences Type Journal Article
  Year 2016 Publication Medical Physics Abbreviated Journal MP  
  Volume 43 Issue 10 Pages (up)  
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  Abstract Purpose: An intraluminal coronary stent is a metal mesh tube deployed in a stenotic artery during Percutaneous Coronary Intervention (PCI), in order to prevent acute vessel occlusion. The identication of struts location and the denition of the stent shape are relevant for PCI planning 15 and for patient follow-up. We present a fully-automatic framework for Computer-Aided Detection
(CAD) of intra-coronary stents in Intravascular Ultrasound (IVUS) image sequences. The CAD system is able to detect stent struts and estimate the stent shape.

Methods: The proposed CAD uses machine learning to provide a comprehensive interpretation of the local structure of the vessel by means of semantic classication. The output of the classication 20 stage is then used to detect struts and to estimate the stent shape. The proposed approach is validated using a multi-centric data-set of 1,015 images from 107 IVUS sequences containing both metallic and bio-absorbable stents.

Results: The method was able to detect structs in both metallic stents with an overall F-measure of 77.7% and a mean distance of 0.15 mm from manually annotated struts, and in bio-absorbable 25 stents with an overall F-measure of 77.4% and a mean distance of 0.09 mm from manually annotated struts.

Conclusions: The results are close to the inter-observer variability and suggest that the system has the potential of being used as method for aiding percutaneous interventions.
 
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  Notes MILAB Approved no  
  Call Number Admin @ si @ CBR2016 Serial 2819  
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Author A.S. Coquel; Jean-Pascal Jacob; M. Primet; A. Demarez; Mariella Dimiccoli; T. Julou; L. Moisan; A. Lindner; H. Berry edit   pdf
doi  openurl
  Title Localization of protein aggregation in Escherichia coli is governed by diffusion and nucleoid macromolecular crowding effect Type Journal Article
  Year 2013 Publication Plos Computational Biology Abbreviated Journal PCB  
  Volume 9 Issue 4 Pages (up)  
  Keywords  
  Abstract Aggregates of misfolded proteins are a hallmark of many age-related diseases. Recently, they have been linked to aging of Escherichia coli (E. coli) where protein aggregates accumulate at the old pole region of the aging bacterium. Because of the potential of E. coli as a model organism, elucidating aging and protein aggregation in this bacterium may pave the way to significant advances in our global understanding of aging. A first obstacle along this path is to decipher the mechanisms by which protein aggregates are targeted to specific intercellular locations. Here, using an integrated approach based on individual-based modeling, time-lapse fluorescence microscopy and automated image analysis, we show that the movement of aging-related protein aggregates in E. coli is purely diffusive (Brownian). Using single-particle tracking of protein aggregates in live E. coli cells, we estimated the average size and diffusion constant of the aggregates. Our results provide evidence that the aggregates passively diffuse within the cell, with diffusion constants that depend on their size in agreement with the Stokes-Einstein law. However, the aggregate displacements along the cell long axis are confined to a region that roughly corresponds to the nucleoid-free space in the cell pole, thus confirming the importance of increased macromolecular crowding in the nucleoids. We thus used 3D individual-based modeling to show that these three ingredients (diffusion, aggregation and diffusion hindrance in the nucleoids) are sufficient and necessary to reproduce the available experimental data on aggregate localization in the cells. Taken together, our results strongly support the hypothesis that the localization of aging-related protein aggregates in the poles of E. coli results from the coupling of passive diffusion-aggregation with spatially non-homogeneous macromolecular crowding. They further support the importance of “soft” intracellular structuring (based on macromolecular crowding) in diffusion-based protein localization in E. coli.  
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  Publisher Place of Publication Editor : Stanislav Shvartsman, Princeton University, United States of America  
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  Notes Approved no  
  Call Number Admin @ si @CJP2013 Serial 2786  
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