• 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 ...
    • Robust Non-Rigid Registration of 2D and 3D Graphs 

      Autor: Serradell, Eduard; Glowacki, Przemyslaw; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal
      (IEEE, 2012)
      We present a new approach to matching graphs embedded in R2 or R3. Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not require an initial alignment, can handle partial ...
    • Selection of Speaker Independent Feature for a Speaker Verification System 

      Autor: Pandit, M.; Kittler, J.; Matas, J.
      (IEEE, 1998-08)
      In this paper we propose an optimisation technique to choose a user independent feature subset from the input feature set for a dynamic time-warping (DTW) based text-dependent speaker verification system. The results ...
    • Spatio-Temporal Motion Estimation for Respiratory-Correlated Imaging of the Lungs 

      Autor: Vandemeulebroucke, Jef; Rit, Simon; Kybic, Jan; Clarysse, Patrick; Sarrut, David
      (American Association of Physicists in Medicine, 2011)
      Purpose: Four-dimensional computed tomography (4D CT) can provide patient-specific motion information for radiotherapy planning and delivery. Motion estimation in 4D CT is challenging due to the reduced image quality and ...
    • 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 ...
    • Stable affine frames on isophotes 

      Autor: Perd’och, Michal; Matas, Jiří; Obdržálek, Štěpán
      (IEEE, 2007-10)
      We propose a new affine-covariant feature, the stable affine frame (SAF). SAFs lie on the boundary of extremal regions, i.e. on isophotes. Instead of requiring the whole isophote to be stable with respect to intensity ...
    • The fast multipole method for the direct E/MEG problem 

      Autor: Clerc, Maureen; Faugeras, Olivier; Keriven, Renaud; Kybic, Jan; Papadopoulo, Théo
      (IEEE, 2002)
      Reconstructing neuronal activity from MEG and EEG measurements requires the accurate calculation of the electromagnetic field inside the head. The boundary element formulation of this problem leads to a dense linear system ...
    • The Multimodal Signature Method: An Efficiency and Sensitivity Study 

      Autor: Koubaroulis, D.; Matas, J.; Kittler, J.
      (IEEE, 2000)
      The multimodal neighbourhood signature (MNS) method has given acceptable results both for the colour-based image retrieval and the object recognition task. Local colour content is concisely represented by invariant features ...
    • Tracking by an Optimal Sequence of Linear Predictors 

      Autor: Zimmermann, Karel; Matas, Jiří; Svoboda, Tomáš
      (IEEE, 2009-04)
      We propose a learning approach to tracking explicitly minimizing the computational complexity of the tracking process subject to user-defined probability of failure (loss-of-lock) and precision. The tracker is formed by a ...
    • Tracking the Invisible: Learning Where the Object Might be 

      Autor: Grabner, Helmut; Matas, Jiří; Van Gool, Luc; Cattin, Philippe
      (IEEE, 2010-06)
      Objects are usually embedded into context. Visual context has been successfully used in object detection tasks, however, it is often ignored in object tracking. We propose a method to learn supporters which are, be it only ...
    • 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 ...