Zobrazují se záznamy 21-40 z 1299

    • Generalized Sampling: A Variational Approach. Part I: Theory 

      Autor: Kybic, Jan; Blu, Thierry; Unser, Michael
      (IEEE, 2002-08)
      We consider the problem of reconstructing a multidimensional vector function fin: Rm→Rn from a finite set of linear measures. These can be irregularly sampled responses of several linear filters. Traditional approaches ...
    • Generalized Sampling: A Variational Approach. Part II: Applications 

      Autor: Kybic, Jan; Blu, Thierry; Unser, Michael
      (IEEE, 2002-08)
      The variational reconstruction theory from a companion paper finds a solution consistent with some linear constraints and minimizing a quadratic plausibility criterion. It is suitable for treating vector and multidimensional ...
    • Model Selection for Automated Architectural Reconstruction from Multiple Views 

      Autor: Werner, Tomáš; Zisserman, Andrew
      (British Machine Vision Conference (BMVC), 2002-09)
      We describe progress in automatically fitting a plane plus modelled perturbation surface model to represent architectural scenes. There are two areas of novelty. The first is a method of fitting parametrized models in which ...
    • On the Interaction between Object Recognition and Colour Constancy 

      Autor: Obdržálek, Štěpán; Matas, Jiří; Chum, Ondřej
      (IEEE, 2003)
      In this paper we investigate some aspects of the interaction between colour constancy and object recognition. We demonstrate that even under severe changes of illumination, many objects are reliably recognised if relying ...
    • Multimethod machine learning approach for medical diagnosing 

      Autor: Lenič, M.; Povalej, P.; Zorman, M.; Podgorelec, V.; Kokol, P.; Lhotská, Lenka
      (IEEE, 2003-04)
      In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the ...
    • Joint Orientation of Epipoles 

      Autor: Chum, Ondřej; Werner, Tomáš; Pajdla, Tomáš
      (British Machine Vision Association, 2003-09)
      It is known that epipolar constraint can be augmented with orientation by formulating it in the oriented projective geometry. This oriented epipolar constraint requires knowing the orientations (signs of overall scales) ...
    • Number of arrhythmia beats determination in Holter electrocardiogram: How many clusters? 

      Autor: Novák, Daniel; Cuesta-Frau, D.; Mico Tormos, P.; Lhotská, Lenka
      (IEEE, 2003-09)
      Holter signals correspond to long-term electrocardiograph (ECG) registers. Manual inspection of such signals is difficult because of the enormous quantity of beats involved. Throughout the literature several methods of ...
    • Fast Parametric Elastic Image Registration 

      Autor: Kybic, Jan; Unser, Michael
      (IEEE, 2003-11)
      We present an algorithm for fast elastic multidimensional intensity-based image registration with a parametric model of the deformation. It is fully automatic in its default mode of operation. In the case of hard real-world ...
    • Automatic FPGA based implementation of a classification tree 

      Autor: Mitéran, J.; Matas, J.; Dubois, J.; Bourennane, E.
      (IEEE, 2004)
      We propose a method of automatic hardware implementation of a decision rule based on the Adaboost algorithm. We review the principles of the classification method and we evaluate its hardware implementation cost in term ...
    • AdaBoost with Totally Corrective Updates for Fast Face Detection 

      Autor: Šochman, Jan; Matas, Jiří
      (IEEE, 2004-05)
      An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally corrective algorithm reduces aggressively the upper ...
    • Radial Radon Transform dedicated to Micro-object Localization from Radio Frequency Ultrasound Signal 

      Autor: Barva, Martin; Kybic, Jan; Mari, Jean-Martial; Cachard, Christian
      (IEEE, 2004-08)
      In this paper we describe a method for automatic electrode localization in soft tissue from a radiofrequency signal. The method exploits a property of the Radon transform (RT) that allows us to localize a line-segment in ...
    • Inter-stage Feature Propagation in Cascade Building with AdaBoost 

      Autor: Šochman, Jan; Matas, Jiří
      (IEEE, 2004-08)
      A modification of the cascaded detector with the Ada-Boost trained stage classifiers is proposed and brought to bear on the face detection problem. The cascaded detector is a sequential classifier with the ability of early ...
    • Epipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraint 

      Autor: Chum, Ondřej; Werner, Tomáš; Matas, Jiří
      (IEEE, 2004-08)
      The efficiency of epipolar geometry estimation by RANSAC is improved by exploiting the oriented epipolar constraint. Performance evaluation shows that the enhancement brings up to a two-fold speed-up. The orientation test ...
    • High-Dimensional Mutual Information Estimation For Image Registration 

      Autor: Kybic, Jan
      (IEEE, 2004-10)
      We present a new algorithm for mutual information estimation for image registration based on the nearest neighbor entropy estimator of Kozachenko and Leonenko. We modify the algorithm to be numerically robust and computationally ...
    • A common formalism for the integral formulations of the forward EEG problem 

      Autor: Kybic, Jan; Clerc, Maureen; Abboud, Toufic; Faugeras, Olivier; Keriven, Renaud; Papadopoulo, Théo
      (IEEE, 2005-01)
      The forward electroencephalography (EEG) problem involves finding a potential V from the Poisson equation ∇·(σ∇V)=f, in which f represents electrical sources in the brain, and σ the conductivity of the head tissues. In the ...
    • Two-view Geometry Estimation Unaffected by a Dominant Plane 

      Autor: Chum, Ondřej; Werner, Tomáš; Matas, Jiří
      (IEEE, 2005-06)
      A RANSAC-based algorithm for robust estimation of epipolar geometry from point correspondences in the possible presence of a dominant scene plane is presented. The algorithm handles scenes with (i) all points in a single ...
    • Matching with PROSAC – Progressive Sample Consensus 

      Autor: Chum, Ondřej; Matas, Jiří
      (IEEE, 2005-06)
      A new robust matching method is proposed. The progressive sample consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity function used in establishing tentative ...
    • WaldBoost – Learning for Time Constrained Sequential Detection 

      Autor: Šochman, Jan; Matas, Jiří
      (IEEE, 2005-06)
      In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of sequential decision-making. If the false ...
    • Spatio-Temporal Nonrigid Registration for Ultrasound Cardiac Motion Estimation 

      Autor: Ledesma-Carbayo, María Jesús; Kybic, Jan; Desco, Manuel; Santos, Andrés; Sühling, Michael; Hunziker, Patrick; Unser, Michael
      (IEEE, 2005-09)
      We propose a new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images. The specific application is to estimate displacement fields from two-dimensional ultrasound sequences of ...
    • Unconstrained Licence Plate and Text Localization and Recognition 

      Autor: Matas, Jiří; Zimmermann, Karel
      (IEEE, 2005-09)
      Licence plates and traffic signs detection and recognition have a number of different applications relevant for transportation systems, such as traffic monitoring, detection of stolen vehicles, driver navigation support ...