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Author |
Joel Barajas; Jaume Garcia; Francesc Carreras; Sandra Pujades; Petia Radeva |
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Title |
Angle Images Using Gabor Filters in Cardiac Tagged MRI |
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Conference Article |
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Year |
2005 |
Publication |
Proceeding of the 2005 conference on Artificial Intelligence Research and Development |
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107-114 |
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Keywords |
Angle Images, Gabor Filters, Harp, Tagged Mri |
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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. |
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Amsterdam; The Netherlands |
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IOS Press |
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Amsterdam, The Netherlands |
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1-58603-560-6 |
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CAIRD |
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IAM;MILAB |
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no |
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BCNPCL @ bcnpcl @ BGC2005; IAM @ iam |
Serial |
595 |
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Author |
Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; A. Rodriguez |
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Title |
Biometric Recognition Based on Line Shape Descriptors |
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Conference Article |
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2005 |
Publication |
Sixth IAPR International Workshop on Graphics Recognition (GREC 2005) |
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335–344 |
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Hong Kong (China) |
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DAG |
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DAG @ dag @ CSL2005 |
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596 |
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Author |
Jaume Garcia; Joel Barajas; Francesc Carreras; Sandra Pujades; Petia Radeva |
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Title |
An intuitive validation technique to compare local versus global tagged MRI analysis |
Type |
Conference Article |
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Year |
2005 |
Publication |
Computers In Cardiology |
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Volume |
32 |
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29–32 |
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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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Lyon (France) |
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0-7803-9337-6 |
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IAM;MILAB |
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no |
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IAM @ iam @ GBC2005 |
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639 |
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Author |
Fernando Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell |
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Title |
Fast surface grading using color statistics in the CIELab space |
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Conference Article |
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Year |
2005 |
Publication |
Pattern Recognition and Image Analysis. IbPRIA 2005 |
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LNCS 3523 |
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66-673 |
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Germany |
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IbPRIA |
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CIC |
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CAT @ cat @ LVB2005 |
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641 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Factorization with Missing and Noisy Data |
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Conference Article |
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Year |
2006 |
Publication |
6th International Conference on Computational Science |
Abbreviated Journal |
ICCS´06 |
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Volume |
LNCS 3991 |
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555–562 |
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Reading (United Kingdom) |
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ADAS |
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ADAS @ adas @ JSL2006b |
Serial |
653 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
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Title |
Real Time Vehicle Pose Using On-Board Stereo Vision System |
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Conference Article |
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Year |
2006 |
Publication |
International Conference on Image Analysis and Recognition |
Abbreviated Journal |
ICIAR |
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Issue |
LNCS 4142 |
Pages |
205–216 |
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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. |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ SGD2006b |
Serial |
671 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
An Iterative Multiresolution Scheme for SFM |
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Conference Article |
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Year |
2006 |
Publication |
International Conference on Image Analysis and Recognition |
Abbreviated Journal |
ICIAR 2006 |
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Volume |
LNCS 4141 |
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1 |
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804–815 |
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ADAS |
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ADAS @ adas @ JSL2006c |
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704 |
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Author |
Angel Sappa; Boris X. Vintimilla |
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Title |
Edge Point Linking by Means of Global and Local Schemes |
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Conference Article |
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2006 |
Publication |
IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560. |
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Hammamet (Tunisia) |
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ADAS @ adas @ SaV2006 |
Serial |
722 |
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Author |
German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez |
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Title |
Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios |
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Conference Article |
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Year |
2013 |
Publication |
24th British Machine Vision Conference |
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SLAM |
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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. |
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Bristol; UK; September 2013 |
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BMVC |
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ADAS |
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Admin @ si @ RGS2013b; ADAS @ adas @ |
Serial |
2274 |
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Author |
Francisco Javier Orozco; F.A. Garcia; J.L. Arcos; Jordi Gonzalez |
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Title |
Spatio-Temporal Reasoning for Reliable Facial Expression Interpretation |
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Conference Article |
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2007 |
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Proceedings of the 5th International Conference on Computer Vision Systems |
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Bielefeld University (Germany) |
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ICVS |
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ISE |
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ISE @ ise @ OGA2007 |
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772 |
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Author |
Dani Rowe; Jordi Gonzalez; Ivan Huerta; Juan J. Villanueva |
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Title |
On Reasoning over Tracking Events |
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2007 |
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15th Scandinavian Conference on Image Analysis |
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4522 |
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502–511 |
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Aalborg (Denmark) |
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LNCS |
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SCIA´07 |
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ISE |
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ISE @ ise @ RGH2007 |
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784 |
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Author |
Daniel Ponsa; Antonio Lopez |
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Title |
Vehicle Trajectory Estimation based on Monocular Vision |
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Conference Article |
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2007 |
Publication |
3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
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587-594 |
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vehicle detection |
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Girona (Spain) |
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ADAS @ adas @ PoL2007a |
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785 |
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David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa |
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Title |
Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection |
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Conference Article |
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2007 |
Publication |
Proceedings of the 5th International Conference on Computer Vision Systems |
Abbreviated Journal |
ICVS |
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Pedestrian Detection |
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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. |
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Bielefeld (Germany) |
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ADAS @ adas @ gsl2007a |
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786 |
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Author |
Daniel Ponsa; Antonio Lopez |
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Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion |
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Conference Article |
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2007 |
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3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
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47-54 |
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Girona (Spain) |
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ADAS @ adas @ PoL2007b |
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787 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Online Learning for Human-Robot Interaction |
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2007 |
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IEEE Conference on Computer Vision and Pattern Recognition Workshop on |
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Minneapolis (USA) |
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CVPR |
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OR; MV |
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BCNPCL @ bcnpcl @ RaV2007a |
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791 |
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