• Object-Detection With a Varying Number of Eigenspace Projections 

      Autor: Reiter, Michael; Matas, Jiří
      (IEEE, 1998-08)
      We present a method allowing a significant speed-up of the eigen-detection method (detection based on principle component analysis). We derive a formula for an upper bound on the class-conditional probability (or equivalently ...
    • On Combining Classifiers 

      Autor: Kittler, Josef; Hatef, Mohamad; Duin, Robert P.W.; Matas, Jiří
      (IEEE, 1998-03)
      We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the ...
    • 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 ...
    • Online learning of robust object detectors during unstable tracking 

      Autor: Kalal, Zdenek; Matas, Jiří; Mikolajczyk, Krystian
      (IEEE, 2009-09)
      This work investigates the problem of robust, longterm visual tracking of unknown objects in unconstrained environments. It therefore must cope with frame-cuts, fast camera movements and partial/total object occlusions/d ...
    • Optimal Randomized RANSAC 

      Autor: Chum, Ondřej; Matas, Jiří
      (IEEE, 2008-08)
      A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-specified probability. The solution is found in time that is close to the ...
    • P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints 

      Autor: Kalal, Zdenek; Matas, Jiří; Mikolajczyk, Krystian
      (IEEE, 2010-06)
      This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the label of one example restricts the labeling ...
    • Parallel integral projection transform for straight electrode localization in 3-D ultrasound images 

      Autor: Barva, Martin; Uherčík, Marián; Mari, Jean-Martial; Kybic, Jan; Duhamel, Jean-René; Liebgott, Hervé; Hlaváč, Václav; Cachard, Christian
      (IEEE, 2008-07)
      In surgical practice, small metallic instruments are frequently used to perform various tasks inside the human body. We address the problem of their accurate localization in the tissue. Recent experiments using medical ...
    • Performance Comparison of Extracellular Spike Sorting Algorithms for Single-Channel Recordings 

      Autor: Novák, Daniel
      (2012)
      Proper classification of action potentials from extracellular recordings is essential for making an accurate study of neuronal behavior. Many spike sorting algorithms have been presented in the technical literature. However, ...
    • Primal View on Belief Propagation 

      Autor: Werner, Tomáš
      (AUAI Press, 2010-07)
      It is known that xed points of loopy belief propagation (BP) correspond to stationary points of the Bethe variational problem, where we minimize the Bethe free energy subject to normalization and marginalization constraints. ...
    • Progressive Probabilistic Hough Transform for line detection 

      Autor: Galambos, C.; Matas, J.; Kittler, J.
      (IEEE, 1999)
      We present a novel Hough Transform algorithm referred to as Progressive Probabilistic Hough Transform (PPHT). Unlike the Probabilistic HT where Standard HT is performed on a pre-selected fraction of input points, PPHT ...
    • 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 ...
    • Randomized RANSAC with Sequential Probability Ratio Test 

      Autor: Matas, Jiří; Chum, Ondřej
      (IEEE, 2005-10)
      A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-controllable probability n. A provably optimal model verification strategy is ...
    • Recognition Using Labelled Objects 

      Autor: Soh, L. M.; Matas, J.; Kittler, J.
      (IEEE, 1998-08)
      General object recognition is a difficult problem. We (1997) proposed a solution for object recognition in an unconstrained environment. We simplified the recognition problem by attaching a special planar pattern on objects ...
    • Reconstructing Evolving Tree Structures in Time Lapse Sequences 

      Autor: Głowacki, Przemysław; Amável Pinheiro, Miguel; Türetken, Engin; Sznitman, Raphael; Lebrecht, Daniel; Kybic, Jan; Holtmaat, Anthony; Fua, Pascal
      (2014)
      We propose an approach to reconstructing tree structures that evolve over time in 2D images and 3D image stacks such as neuronal axons or plant branches. Instead of reconstructing structures in each image independently, ...
    • Reducing false positive responses in lung nodule detector system by asymmetric adaboost 

      Autor: Dolejší, Martin; Kybic, Jan; Tůma, Stanislav; Polovinčák, Michal
      (IEEE, 2008-05)
      We are developing a complex computer aided diagnosis (CAD) system to detect small pulmonary nodules from helical CT scans. Here we present a classifier to reduce the number of false positive responses of the primary detector. ...
    • Registration of multiple stained histological sections 

      Autor: Borovec, Jiří; Kybic, Jan; Bušta, Michal; Ortiz-de-Solórzano, Carlos; Muñoz-Barrutia, Arrate
      (IEEE, 2013)
      The analysis of protein-level multigene expression signature maps computed from the fusion of differently stained immunohistochemistry images is an emerging tool in cancer management. Creating these maps requires registering ...
    • Registration of segmented histological images using thin plate splines and belief propagation 

      Autor: Kybic, Jan
      (SPIE, 2014)
      We register images based on their multiclass segmentations, for cases when correspondence of local features cannot be established. A discrete mutual information is used as a similarity criterion. It is evaluated at a sparse ...
    • Revisiting the Decomposition Approach to Inference in Exponential Families and Graphical Models 

      Autor: Werner, Tomáš
      (Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, 2009-05)
    • Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction 

      Autor: Werner, Tomáš
      (IEEE, 2010)
      We present a number of contributions to the LP relaxation approach to weighted constraint satisfaction (= Gibbs energy minimization). We link this approach to many works from constraint programming, which relation has so ...
    • Robust elastic 2D/3D geometric graph matching 

      Autor: Serradell, Eduard; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal
      (SPIE, 2012)
      We present an algorithm for geometric matching of graphs embedded in 2D or 3D space. It is applicable for registering any graph-like structures appearing in biomedical images, such as blood vessels, pulmonary bronchi, nerve ...