Zobrazují se záznamy 61-80 z 110

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Multiview 3D Tracking with an Incrementally Constructed 3D Model 

      Autor: Zimmermann, Karel; Svoboda, Tomáš; Matas, Jiří
      (IEEE, 2006-06)
      We propose a multiview tracking method for rigid objects. Assuming that a part of the object is visible in at least two cameras, a partial 3D model is reconstructed in terms of a collection of small 3D planar patches of ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Epipolar Geometry from Two Correspondences 

      Autor: Perd’och, Michal; Matas, Jiří; Chum, Ondřej
      (IEEE, 2006)
      A novel algorithm for robust RANSAC-like estimation of epipolar geometry (of uncalibrated camera pair) from two correspondences of local affine frames (LAFs) is presented. Each LAF is constructed from three points independently ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...