Home << 1 2 3 4 5 6 7 8 9 10 >> [11–20]
List View
 | 
Citations
 | 
Details
   web
Records
Author Joel Barajas; Jaume Garcia; Francesc Carreras; Sandra Pujades; Petia Radeva
Title Angle Images Using Gabor Filters in Cardiac Tagged MRI Type Conference Article
Year 2005 Publication Proceeding of the 2005 conference on Artificial Intelligence Research and Development Abbreviated Journal
Volume Issue Pages 107-114
Keywords Angle Images, Gabor Filters, Harp, Tagged Mri
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.
Address Amsterdam; The Netherlands
Corporate Author Thesis
Publisher IOS Press Place of Publication Amsterdam, The Netherlands Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 1-58603-560-6 Medium (up)
Area Expedition Conference CAIRD
Notes IAM;MILAB Approved no
Call Number BCNPCL @ bcnpcl @ BGC2005; IAM @ iam Serial 595
Permanent link to this record
 
 
Author Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; A. Rodriguez
Title Biometric Recognition Based on Line Shape Descriptors Type Conference Article
Year 2005 Publication Sixth IAPR International Workshop on Graphics Recognition (GREC 2005) Abbreviated Journal
Volume Issue Pages 335–344
Keywords
Abstract
Address Hong Kong (China)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes DAG Approved no
Call Number DAG @ dag @ CSL2005 Serial 596
Permanent link to this record
 
 
Author Jaume Garcia; Joel Barajas; Francesc Carreras; Sandra Pujades; Petia Radeva
Title An intuitive validation technique to compare local versus global tagged MRI analysis Type Conference Article
Year 2005 Publication Computers In Cardiology Abbreviated Journal
Volume 32 Issue Pages 29–32
Keywords
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
Address Lyon (France)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 0-7803-9337-6 Medium (up)
Area Expedition Conference
Notes IAM;MILAB Approved no
Call Number IAM @ iam @ GBC2005 Serial 639
Permanent link to this record
 
 
Author Fernando Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell
Title Fast surface grading using color statistics in the CIELab space Type Conference Article
Year 2005 Publication Pattern Recognition and Image Analysis. IbPRIA 2005 Abbreviated Journal
Volume LNCS 3523 Issue Pages 66-673
Keywords
Abstract
Address Germany
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor LNCS Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference IbPRIA
Notes CIC Approved no
Call Number CAT @ cat @ LVB2005 Serial 641
Permanent link to this record
 
 
Author Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez
Title Factorization with Missing and Noisy Data Type Conference Article
Year 2006 Publication 6th International Conference on Computational Science Abbreviated Journal ICCS´06
Volume LNCS 3991 Issue Pages 555–562
Keywords
Abstract
Address Reading (United Kingdom)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes ADAS Approved no
Call Number ADAS @ adas @ JSL2006b Serial 653
Permanent link to this record
 
 
Author Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez
Title Real Time Vehicle Pose Using On-Board Stereo Vision System Type Conference Article
Year 2006 Publication International Conference on Image Analysis and Recognition Abbreviated Journal ICIAR
Volume Issue LNCS 4142 Pages 205–216
Keywords
Abstract This paper presents a robust technique for a real time estimation of both camera’s position and orientation—referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,
relative camera’s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes ADAS Approved no
Call Number ADAS @ adas @ SGD2006b Serial 671
Permanent link to this record
 
 
Author Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez
Title An Iterative Multiresolution Scheme for SFM Type Conference Article
Year 2006 Publication International Conference on Image Analysis and Recognition Abbreviated Journal ICIAR 2006
Volume LNCS 4141 Issue 1 Pages 804–815
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes ADAS Approved no
Call Number ADAS @ adas @ JSL2006c Serial 704
Permanent link to this record
 
 
Author Angel Sappa; Boris X. Vintimilla
Title Edge Point Linking by Means of Global and Local Schemes Type Conference Article
Year 2006 Publication IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560. Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Hammamet (Tunisia)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes ADAS Approved no
Call Number ADAS @ adas @ SaV2006 Serial 722
Permanent link to this record
 
 
Author Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva
Title Cascade analysis for intestinal contraction detection Type Conference Article
Year 2006 Publication 20th International Congress and exhibition Computer Assisted Radiology and Surgery Abbreviated Journal
Volume Issue Pages 9-10
Keywords intestine video analysis, anisotropic features, support vector machine, cascade of classifiers
Abstract In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions.
Address Osaka (Japan)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area 800 Expedition Conference CARS
Notes MV;OR;MILAB;SIAI Approved no
Call Number BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h Serial 726
Permanent link to this record
 
 
Author Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva
Title Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy Type Conference Article
Year 2006 Publication 18th International Conference on Pattern Recognition Abbreviated Journal
Volume 4 Issue Pages 719-722
Keywords Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization
Abstract Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found.
Address Hong Kong
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1051-4651 ISBN 0-7695-2521-0 Medium (up)
Area 800 Expedition Conference ICPR
Notes MV;OR;MILAB;SIAI Approved no
Call Number BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g Serial 727
Permanent link to this record
 
 
Author German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez
Title Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios Type Conference Article
Year 2013 Publication 24th British Machine Vision Conference Abbreviated Journal
Volume Issue Pages
Keywords SLAM
Abstract Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the improvements in the data gathering frameworks, new issues must be considered. One of these issues is the capability of a technique to deal with very large amounts of data while meeting the realtime
constraint. With this purpose in mind, we present a novel technique for the problem of robust camera-pose estimation that is more suitable for dealing with large amount of data, which additionally, helps improving the results. The method is based on a combination of a very fast coarse-evaluation function and a robust ℓ1-averaging procedure. Such scheme leads to high-quality results while taking considerably less time than RANSAC.
Experimental results on the challenging KITTI Vision Benchmark Suite are provided, showing the validity of the proposed approach.
Address Bristol; UK; September 2013
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference BMVC
Notes ADAS Approved no
Call Number Admin @ si @ RGS2013b; ADAS @ adas @ Serial 2274
Permanent link to this record
 
 
Author Francisco Javier Orozco; F.A. Garcia; J.L. Arcos; Jordi Gonzalez
Title Spatio-Temporal Reasoning for Reliable Facial Expression Interpretation Type Conference Article
Year 2007 Publication Proceedings of the 5th International Conference on Computer Vision Systems Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address Bielefeld University (Germany)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference ICVS
Notes ISE Approved no
Call Number ISE @ ise @ OGA2007 Serial 772
Permanent link to this record
 
 
Author Dani Rowe; Jordi Gonzalez; Ivan Huerta; Juan J. Villanueva
Title On Reasoning over Tracking Events Type Conference Article
Year 2007 Publication 15th Scandinavian Conference on Image Analysis Abbreviated Journal
Volume 4522 Issue Pages 502–511
Keywords
Abstract
Address Aalborg (Denmark)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title LNCS
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference SCIA´07
Notes ISE Approved no
Call Number ISE @ ise @ RGH2007 Serial 784
Permanent link to this record
 
 
Author Daniel Ponsa; Antonio Lopez
Title Vehicle Trajectory Estimation based on Monocular Vision Type Conference Article
Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 Abbreviated Journal
Volume Issue Pages 587-594
Keywords vehicle detection
Abstract
Address Girona (Spain)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes ADAS Approved no
Call Number ADAS @ adas @ PoL2007a Serial 785
Permanent link to this record
 
 
Author David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa
Title Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection Type Conference Article
Year 2007 Publication Proceedings of the 5th International Conference on Computer Vision Systems Abbreviated Journal ICVS
Volume Issue Pages
Keywords Pedestrian Detection
Abstract On–board pedestrian detection is in the frontier of the state–of–the–art since it implies processing outdoor scenarios from a mobile platform and searching for aspect–changing objects in cluttered urban environments. Most promising approaches include the development of classifiers based on feature selection and machine learning. However, they use a large number of features which compromises real–time. Thus, methods for running the classifiers in only a few image windows must be provided. In this paper we contribute in both aspects, proposing a camera
pose estimation method for adaptive sparse image sampling, as well as a classifier for pedestrian detection based on Haar wavelets and edge orientation histograms as features and AdaBoost as learning machine. Both proposals are compared with relevant approaches in the literature, showing comparable results but reducing processing time by four for the sampling tasks and by ten for the classification one.
Address Bielefeld (Germany)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium (up)
Area Expedition Conference
Notes ADAS Approved no
Call Number ADAS @ adas @ gsl2007a Serial 786
Permanent link to this record