• Using grammars for scene interpretation 

      Autor: Christensen, H.I.; Matas, J.; Kittler, J.
      (IEEE, 1996-09)
      A method that employs grammars to direct the inference process of a vision system that does interpretation of dynamic scenes is described. The system uses a set of qualitative image descriptors to drive the interpretation. ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Audio-Visual Person Verification 

      Autor: Ben-Yacoub, S.; Luttin, J.; Jonsson, K.; Matas, J.; Kittler, J.
      (IEEE, 1999)
      In this paper we investigate benefits of classifier combination (fusion) for a multimodal system for personal identity verification. The system uses frontal face images and speech. We show that a sophisticated fusion ...
    • Multi Modal Verification for Teleservices and Security Applications (M2VTS) 

      Autor: Richard, G.; Menguy, Y.; Guis, I.; Suaudeau, N.; Boudy, J.; Lockwood, P.; Fernandez, C.; Fernández, F.; Kotropoulos, C.; Tefas, A.; Pitas; Heimgartner, R.; Ryser, P.; Beumier, C.; Verlinde, P.; Pigeon, S.; Matas, J.; Kittler, J.; Bigün, J.; Abdeljaoued, Y.; Meurville, E.; Besacier, L.; Ansorge, M.; Maitre, G.; Luettin, J.; Ben-Yacoub, S.; Ruiz, B.; Aldama, K.; Cortes, J.
      (IEEE, 1999-07)
      The paper presents the European ACTS project “M2VTS” which stands for Multi Modal Verification for Teleservices and Security Applications. The primary goal of this project is to address the issue of secured access to local ...
    • Comparison of face verification results on the XM2VTS database 

      Autor: Matas, J.; Hamouz, M.; Jonsson, K.; Kittler, J.; Li, Y.; Kotropoulos, C.; Tefas, A.; Pitas, I.; Teewoon Tan; Hong Yan; Smeraldi, F.; Bigun, J.; Capdevielle, N.; Gerstner, W.; Ben-Yacoub, S.; Abdeljaoued, Y.; Mayoraz, E.
      (IEEE, 2000)
      The pater presents results of the face verification contest that was organized in conjunction with International Conference on Pattern Recognition 2000. Participants had to use identical data sets from a large, publicly ...
    • Wearable face recognition aid 

      Autor: Iordanoglou, C.; Jonsson, K.; Kittler, J.; Matas, J.
      (IEEE, 2000)
      The feasibility of realising a low cost wearable face recognition aid based on a robust correlation algorithm is investigated. The aim of the study is to determine the limiting spatial and grey level resolution of the probe ...
    • Using gradient information to enhance the Progressive Probabilistic Hough Transform 

      Autor: Galambos, C.; Kittler, J.; Matas, J.
      (IEEE, 2000)
      In this paper we look at the benefits to be gained in using gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown how using the angle information in controlling the voting process ...
    • 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 ...
    • 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 ...
    • Unwarping of Unidirectionally Distorted EPI Images 

      Autor: Kybic, Jan; Thévenaz, Philippe; Nirkko, Arto; Unser, Michael
      (IEEE, 2000-02)
      Echo-planar imaging (EPI) is a fast nuclear magnetic resonance imaging (MRI) method. Unfortunately, local magnetic field inhomogeneities induced mainly by the subject's presence cause significant geometrical distortion, ...
    • Face Verification Using Error Correcting Output Codes 

      Autor: Kittler, J.; Ghaderi, R.; Windeatt, T.; Matas, J.
      (IEEE, 2001)
      The error correcting output coding (ECOC) approach to classifier design decomposes a multi-class problem into a set of complementary two-class problems. We show how to apply the ECOC concept to automatic face verification, ...
    • 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 ...
    • Colour-Based Object Recognition for Video Annotation 

      Autor: Koubaroulis, Dirnitrios; Matas, Jiří; Kittler, Josef
      (IEEE, 2002)
      We propose a colour-based object recognition method for video annotation. The semantic gap between image measurements and symbolic labelling is bridged by assuming the existence of objects whose appearance can be associated ...
    • Local Affine Frames for Wide-Baseline Stereo 

      Autor: Matas, Jiří; Obdržálek, Štěpán; Chum, Ondřej
      (IEEE, 2002)
      A novel procedure for establishing wide-baseline correspondence is introduced. Tentative correspondences are established by matching photometrically normalised colour measurements represented in a local affine frame. The ...
    • 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 ...