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Author |
Javier Vazquez; Maria Vanrell; Ramon Baldrich |
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Title |
Towards a Psychophysical Evaluation of Colour Constancy Algorithms |
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Conference Article |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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372–377 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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CAT @ cat @ VVB2008a |
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968 |
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Author |
C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Modelling Inter-Colour Regions of Colour Naming Space |
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Conference Article |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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218–222 |
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Terrassa (Spain) |
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CGIV08 |
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CAT @ cat @ PBV2008 |
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969 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Detecting and Tracking of 3D Face Pose for Human-Robot Interaction |
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Conference Article |
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2008 |
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IEEE International Conference on Robotics and Automation, |
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1716–1721 |
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Pasadena; CA; USA |
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ICRA |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008a |
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982 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Constructing Panoramic Views Through Facial Gaze Tracking |
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Conference Article |
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2008 |
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IEEE International Conference on Multimedia and Expo, |
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969–972 |
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Hannover (Germany) |
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ICME |
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OR;MV |
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BCNPCL @ bcnpcl @ DoR2008b |
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983 |
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Author |
Debora Gil; Jaume Garcia; Mariano Vazquez; Ruth Aris; Guilleaume Houzeaux |
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Title |
Patient-Sensitive Anatomic and Functional 3D Model of the Left Ventricle Function |
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Conference Article |
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Year |
2008 |
Publication |
8th World Congress on Computational Mechanichs (WCCM8) |
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Left Ventricle, Electromechanical Models, Image Processing, Magnetic Resonance. |
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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. |
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Venice; Italy |
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9788496736559 |
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IAM; |
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Call Number |
IAM @ iam @ GGV2008b |
Serial |
993 |
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Author |
Pau Baiget; Eric Sommerlade; I. Reid; Jordi Gonzalez |
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Title |
Finding Prototypes to Estimate Trajectory Development in Outdoor Scenarios |
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Conference Article |
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2008 |
Publication |
First International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences BMVC 2008, |
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27–34 |
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Leed |
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978-84-935251-9-4 |
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ISE @ ise @ BSR2008 |
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1008 |
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Author |
Ognjen Rudovic; Xavier Roca |
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Title |
Building Temporale Templates for Human Behaviour Classification |
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Conference Article |
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2008 |
Publication |
First International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences BMVC 2008, |
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79–88 |
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Leeds (UK) |
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978-84-935251-9-4 |
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ISE @ ise @ RuR2008 |
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1009 |
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Author |
Carles Fernandez; Pau Baiget; Jordi Gonzalez |
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Title |
Cognitive-Guided Semantic Exploitation in Video Surveillance Interfaces |
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Conference Article |
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2008 |
Publication |
First International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences. BMVC 2008, |
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53–60 |
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Leeds (UK) |
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978-84-935251-9-4 |
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ISE |
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ISE @ ise @ FBG2008 |
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1010 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Real Time on Board Stereo Camera Pose through Image Registration |
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Conference Article |
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2008 |
Publication |
IEEE Intelligent Vehicles Symposium, |
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804–809 |
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Eindhoven (Netherlands) |
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ADAS |
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ADAS @ adas @ DoS2008a |
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1015 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat |
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Title |
Photometric Stereo through and Adapted Alternation Approach |
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Conference Article |
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2008 |
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IEEE International Conference on Image Processing, |
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1500–1503 |
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San Diego; CA; USA |
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ADAS |
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ADAS @ adas @ JSL2008d |
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1016 |
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Author |
Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez |
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Title |
Registration-based Moving Object Detection from a Moving Camera |
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Conference Article |
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2008 |
Publication |
IROS2008 2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles |
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65–69 |
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This paper presents a robust approach for detecting moving objects from on-board stereo vision systems. It relies on a feature point quaternion-based registration, which avoids common problems that appear when computationally expensive iterative-based algorithms are used on dynamic environments. The proposed approach consists of three stages. Initially, feature points are extracted and tracked through consecutive frames. Then, a RANSAC based approach is used for registering
two 3D point sets with known correspondences by means of the quaternion method. Finally, the computed 3D rigid displacement is used to map two consecutive frames into the same coordinate system. Moving objects correspond to those areas with large registration errors. Experimental results, in different scenarios, show the viability of the proposed approach. |
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Nice (France) |
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ADAS @ adas @ SDG2008 |
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1017 |
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Author |
C. Santa-Marta; Jaume Garcia; A. Bajo; J.J. Vaquero; M. Ledesma-Carbayo; Debora Gil |
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Title |
Influence of the Temporal Resolution on the Quantification of Displacement Fields in Cardiac Magnetic Resonance Tagged Images |
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2008 |
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XXVI Congreso Anual de la Sociedad Española de Ingenieria Biomedica |
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352–353 |
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It is difficult to acquire tagged cardiac MR images with a high temporal and spatial resolution using clinical MR scanners. However, if such images are used for quantifying scores based on motion, it is essential a resolution as high as possibl e. This paper explores the influence of the temporal resolution of a tagged series on the quantification of myocardial dynamic parameters. To such purpose we have designed a SPAMM (Spatial Modulation of Magnetization) sequence allowing acquisition of sequences at simple and double temporal resolution. Sequences are processed to compute myocardial motion by an automatic technique based on the tracking of the harmonic phase of tagged images (the Harmonic Phase Flow, HPF). The results have been compared to manual tracking of myocardial tags. The error in displacement fields for double resolution sequences reduces 17%. |
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Valladolid |
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Roberto hornero, Saniel Abasolo |
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CASEIB |
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IAM; |
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IAM @ iam @ SGB2008 |
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1033 |
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Author |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva |
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Improved Rigid Registration of Vessel Structures using the Fast Radial Symmetry Transform |
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2008 |
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Computer Vision for Intravascular Imaging CVII’08 Workshop Medical Image Computing and Computer–Assisted Intervention , 11th International Conference |
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128–136 |
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NY (USA) |
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MICCAI |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ GPR2008b |
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1038 |
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Sergio Escalera; Oriol Pujol; J. Mauri; Petia Radeva |
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Title |
IVUS Tissue Characterization with Sub-class Error-correcting Output Codes |
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2008 |
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Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on, pp. 1–8, 23–28 juny 2008. |
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Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on Radio Frequency, texture-based, slope-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multi-class learning techniques. In this context, we propose a strategy to model multi-class classification tasks using sub-classes information in the ECOC framework. The new strategy splits the classes into different subsets according to the applied base classifier. Complex IVUS data sets containing overlapping data are learnt by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. The method automatically characterizes different tissues, showing performance improvements over the state-of-the-art ECOC techniques for different base classifiers and feature sets. |
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CVPR |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ EPM2008 |
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1041 |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
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On the Use of Independent Tasks for Face Recognition |
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2008 |
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
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1–6 |
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no |
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Call Number |
BCNPCL @ bcnpcl @ LMV2008b |
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1043 |
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