• 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 ...
    • Geometric Hashing with Local Af ne Frames 

      Autor: Chum, Ondřej; Matas, Jiří
      (IEEE, 2006-06)
      We propose a novel representation of local image structure and a matching scheme that are insensitive to a wide range of appearance changes. The representation is a collection of local affine frames that are constructed ...
    • Geometric min-Hashing: Finding a (Thick) Needle in a Haystack 

      Autor: Chum, Ondřej; Perd’och, Michal; Matas, Jiří
      (IEEE, 2009-06)
      We propose a novel hashing scheme for image retrieval, clustering and automatic object discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image features is exploited in our method. The geometric ...
    • Global Line Search Algorithm Hybridized with Quadratic Interpolation and Its Extension to Separable Functions 

      Autor: Baudiš, Petr; Pošík, Petr
      (ACM, 2015)
      We propose a novel hybrid algorithm“Brent-STEP” for uni- variate global function minimization, based on the global line search method STEP and accelerated by Brent’s method, a local optimizer that combines quadratic ...
    • Gradient based progressive probabilistic Hough transform 

      Autor: Galambos, C.; Kittler, J.; Matas, J.
      (IEEE/IET, 2001-06)
      The authors look at the benefits of exploiting gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown that using the angle information in controlling the voting process and in ...
    • Guest Editors’ Introduction to the Special Section on CVPR Papers 

      Autor: Baker, Simon; Matas, Jiří; Zabih, Ramin
      (IEEE, 2008-10)
    • 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 ...
    • Hypothesis selection for scene interpretation using grammatical models of scene evolution 

      Autor: Young, R.; Kittler, J.; Matas, J.
      (IEEE, 1998-08)
      A major bottleneck in dynamic scene interpretation is the search that is required through a database to find a model that best matches the observed data. We show that the problem can be alleviated if the object model ...
    • Image Matching and Retrieval by Repetitive Patterns 

      Autor: Doubek, Petr; Matas, Jiří; Perd’och, Michal; Chum, Ondřej
      (IEEE, 2010-08)
      Detection of repetitive patterns in images has been studied for a long time in computer vision. This paper discusses a method for representing a lattice or line pattern by shift-invariant descriptor of the repeating element. ...
    • Improving Descriptors for Fast Tree Matching by Optimal Linear Projection 

      Autor: Mikolajczyk, Krystian; Matas, Jiří
      (IEEE, 2007-10)
      In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that inter-image deviations of corresponding ...
    • 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 ...
    • ITAREPS: Information Technology Aided Relapse Prevention Programme in Schizophrenia 

      Autor: Novák, Daniel
      (2008)
      ITAREPS presents a mobile phone-based telemedicine solution for weekly remote patient monitoring and disease management in schizophrenia and psychotic disorders in general. The programme provides health professionals with ...
    • 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) ...
    • jSLIC : superpixels in ImageJ 

      Autor: Borovec, Jiří; Kybic, Jan
      (Czech Society for Cybernetics and Informatics, 2014)
      This paper presents the implementation and particular improvements on the superpixel clustering algorithm - SLIC (Simple Linear Iterative Clustering). The main contribution of the jSLIC is a significant speed-up of the ...
    • Large-Scale Discovery of Spatially Related Images 

      Autor: Chum, Ondřej; Matas, Jiří
      (IEEE, 2010-02)
      We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of pairs of images with spatial overlap, the so-called ...
    • Learning Support Vectors for Face Verification and Recognition 

      Autor: Jonsson, K.; Matas, J.; Kittler, J.; Li, Y. P.
      (IEEE, 2000)
      The paper studies support vector machines (SVM) in the context of face verification and recognition. Our study supports the hypothesis that the SVM approach is able to extract the relevant discriminatory information from ...
    • Line filtering for detection of microtools in 3D ultrasound data 

      Autor: Uherčík, Marián; Kybic, Jan; Cachard, Christian; Liebgott, Hervé
      (IEEE, 2009-09)
      We propose a robust method for localization of elongated surgical tools in 3D ultrasound data based on shape analysis. The tubular structures in input data are enhanced by a line filter in the pre-processing phase. A new ...
    • Line Filtering for Surgical Tool Localization in 3D Ultrasound Images 

      Autor: Uherčík, Marián; Kybic, Jan; Zhao, Yue; Cachard, Christian; Liebgott, Hervé
      (Elsevier, 2013)
      We present a method for automatic surgical tool localization in 3D ultrasound images based on line ltering, voxel classi cation and model tting. A possible application is to provide assistance for biopsy needle or ...
    • Linear Predictors for Fast Simultaneous Modeling and Tracking 

      Autor: Ellis, Liam; Dowson, Nicholas; Matas, Jiří; Bowden, Richard
      (IEEE, 2007-10)
      An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacement predictors learnt online. A multi-modal ...