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Author B. Moghaddam; David Guillamet; Jordi Vitria edit  doi
openurl 
  Title Local Appearance-Based Models using High-Order Statistics of Image Features Type Conference Article
  Year 2003 Publication IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Abbreviated Journal  
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  Address Madison, WI, USA  
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  ISSN ISBN Medium  
  Area Expedition Conference CVPR  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MGV2003 Serial 395  
Permanent link to this record
 

 
Author Angel Sappa; M.A. Garcia edit  openurl
  Title Hierarchical Clustering of 3D Objects and its Application to Minimum Distance Computation Type Conference Article
  Year 2004 Publication IEEE International Conference on Robotics & Automation, 5287–5292, New Orleans, LA (USA), ISBN: 0–7803–8232–3 Abbreviated Journal  
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  Address New Orleans, LA, USA  
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  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaG2004b Serial 459  
Permanent link to this record
 

 
Author Bart M. Ter Haar Romeny; W. Niessen; J. Weickert; P. Van Roermund; W. Van Enk; Antonio Lopez; R. Maas edit  openurl
  Title Orientation detection of trabecular bone Type Conference Article
  Year 1996 Publication Biophysics and Molecular Biology, International Biophysics Congress. Volume 65, pgs. P–H5–43 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ HNW1996 Serial 489  
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Author Angel Sappa; Boris X. Vintimilla edit  openurl
  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  
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  Address Hammamet (Tunisia)  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SaV2006 Serial 722  
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Author German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez edit   pdf
openurl 
  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 (up)  
  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  
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  ISSN ISBN Medium  
  Area Expedition Conference BMVC  
  Notes ADAS Approved no  
  Call Number Admin @ si @ RGS2013b; ADAS @ adas @ Serial 2274  
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Author Francisco Javier Orozco; F.A. Garcia; J.L. Arcos; Jordi Gonzalez edit  openurl
  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  
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  Address Bielefeld University (Germany)  
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  Area Expedition Conference ICVS  
  Notes ISE Approved no  
  Call Number ISE @ ise @ OGA2007 Serial 772  
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Author David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa edit   pdf
url  openurl
  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 (up)  
  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)  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ gsl2007a Serial 786  
Permanent link to this record
 

 
Author Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Online Learning for Human-Robot Interaction Type Conference Article
  Year 2007 Publication IEEE Conference on Computer Vision and Pattern Recognition Workshop on Abbreviated Journal  
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  Address Minneapolis (USA)  
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  ISSN ISBN Medium  
  Area Expedition Conference CVPR  
  Notes OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2007a Serial 791  
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Author Pau Baiget; Joan Soto; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Automatic Generation of Computer-Animated Sequences based on Human Behaviour Modelling Type Conference Article
  Year 2007 Publication 10th International Conference on Computer Graphics and Artificial Intelligence Abbreviated Journal  
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  Address Athens (Greece)  
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  Area Expedition Conference 3IA  
  Notes ISE Approved no  
  Call Number ISE @ ise @ BSR2007 Serial 808  
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Author Oriol Ramos Terrades; Salvatore Tabbone; Ernest Valveny edit  openurl
  Title Optimal Linear Combination for Two-class Classifiers Type Conference Article
  Year 2007 Publication Proceedings of the International Conference on Advances in Pattern Recognition Abbreviated Journal  
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  Address Kolkata (India)  
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  Area Expedition Conference ICAPR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RTV2007a Serial 894  
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Author Sergio Escalera; Petia Radeva; Oriol Pujol edit  openurl
  Title Complex Salient Regions for Computer Vision Problems Type Conference Article
  Year 2007 Publication IEEE Conference on Computer Vision and Pattern Recognition Workshop on Abbreviated Journal  
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  Address Minneapolis (USA)  
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  Area Expedition Conference CVPR  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ ERP2007 Serial 908  
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Author Jaume Amores; N. Sebe; Petia Radeva edit  openurl
  Title Class-Specific Binaryy Correlograms for Object Recognition Type Conference Article
  Year 2007 Publication British Machine Vision Conference Abbreviated Journal  
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  Abstract  
  Address Warwick (UK)  
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  Area Expedition Conference BMVC’07  
  Notes ADAS;MILAB Approved no  
  Call Number ADAS @ adas @ ASR2007a Serial 923  
Permanent link to this record
 

 
Author Daniel Ponsa; Antonio Lopez edit   pdf
openurl 
  Title Cascade of Classifiers for Vehicle Detection Type Conference Article
  Year 2007 Publication Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989 Abbreviated Journal  
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  Keywords vehicle detection  
  Abstract  
  Address Delft (Netherlands)  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ PoL2007c Serial 935  
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Author Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich edit   pdf
openurl 
  Title Shadow Resistant Road Segmentation from a Mobile Monocular System Type Conference Article
  Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:9–16 Abbreviated Journal  
  Volume Issue Pages (up)  
  Keywords road detection  
  Abstract  
  Address Gerona (Spain)  
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  Notes ADAS;CIC Approved no  
  Call Number ADAS @ adas @ ALB2007 Serial 943  
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Author Debora Gil; Jaume Garcia; Mariano Vazquez; Ruth Aris; Guilleaume Houzeaux edit   pdf
isbn  openurl
  Title Patient-Sensitive Anatomic and Functional 3D Model of the Left Ventricle Function Type Conference Article
  Year 2008 Publication 8th World Congress on Computational Mechanichs (WCCM8) Abbreviated Journal  
  Volume Issue Pages (up)  
  Keywords Left Ventricle, Electromechanical Models, Image Processing, Magnetic Resonance.  
  Abstract Early diagnosis and accurate treatment of Left Ventricle (LV) dysfunction significantly increases the patient survival. Impairment of LV contractility due to cardiovascular diseases is reflected in its motion patterns. Recent advances in medical imaging, such as Magnetic Resonance (MR), have encouraged research on 3D simulation and modelling of the LV dynamics. Most of the existing 3D models [1] consider just the gross anatomy of the LV and restore a truncated ellipse which deforms along the cardiac cycle. The contraction mechanics of any muscle strongly depends on the spatial orientation of its muscular fibers since the motion that the muscle undergoes mainly takes place along the fibers. It follows that such simplified models do not allow evaluation of the heart electro-mechanical function and coupling, which has recently risen as the key point for understanding the LV functionality [2]. In order to thoroughly understand the LV mechanics it is necessary to consider the complete anatomy of the LV given by the orientation of the myocardial fibres in 3D space as described by Torrent Guasp [3].
We propose developing a 3D patient-sensitive model of the LV integrating, for the first time, the ven- tricular band anatomy (fibers orientation), the LV gross anatomy and its functionality. Such model will represent the LV function as a natural consequence of its own ventricular band anatomy. This might be decisive in restoring a proper LV contraction in patients undergoing pace marker treatment.
The LV function is defined as soon as the propagation of the contractile electromechanical pulse has been modelled. In our experiments we have used the wave equation for the propagation of the electric pulse. The electromechanical wave moves on the myocardial surface and should have a conductivity tensor oriented along the muscular fibers. Thus, whatever mathematical model for electric pulse propa- gation [4] we consider, the complete anatomy of the LV should be extracted.
The LV gross anatomy is obtained by processing multi slice MR images recorded for each patient. Information about the myocardial fibers distribution can only be extracted by Diffusion Tensor Imag- ing (DTI), which can not provide in vivo information for each patient. As a first approach, we have
Figure 1: Scheme for the Left Ventricle Patient-Sensitive Model.
computed an average model of fibers from several DTI studies of canine hearts. This rough anatomy is the input for our electro-mechanical propagation model simulating LV dynamics. The average fiber orientation is updated until the simulated LV motion agrees with the experimental evidence provided by the LV motion observed in tagged MR (TMR) sequences. Experimental LV motion is recovered by applying image processing, differential geometry and interpolation techniques to 2D TMR slices [5]. The pipeline in figure 1 outlines the interaction between simulations and experimental data leading to our patient-tailored model.
 
  Address Venice; Italy  
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  ISSN ISBN 9788496736559 Medium  
  Area Expedition Conference  
  Notes IAM; Approved no  
  Call Number IAM @ iam @ GGV2008b Serial 993  
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