Prohlížení Publikační činnost - 13133 dle autora "Perd’och, Michal"

Zobrazují se záznamy 1-9 z 9

    • Construction of Precise Local Affine Frames 

      Autor: Mikulik, Andrej; Matas, Jiří; Perd’och, Michal; Chum, Ondřej
      (IEEE, 2010-08)
      We propose a novel method for the refinement of Maximally Stable Extremal Region (MSER) boundaries to sub-pixel precision by taking into account the intensity function in the 2 × 2 neighborhood of the contour points. The ...

    • Dense Linear-Time Correspondences for Tracking 

      Autor: Obdržálek, Štěpán; Perd’och, Michal; Matas, Jiří
      (IEEE, 2008-06)
      A novel method is proposed for the problem of frame-to-frame correspondence search in video sequences. The method, based on hashing of low-dimensional image descriptors, establishes dense correspondences and allows large ...

    • Efficient Representation of Local Geometry for Large Scale Object Retrieval 

      Autor: Perd’och, Michal; Chum, Ondřej; Matas, Jiří
      (IEEE, 2009-06)
      State of the art methods for image and object retrieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems, memory becomes a limiting factor - local ...

    • Efficient Sequential Correspondence Selection by Cosegmentation 

      Autor: Čech, Jan; Matas, Jiří; Perd’och, Michal
      (IEEE, 2008-06)
      In many retrieval, object recognition and wide baseline stereo methods, correspondences of interest points are established possibly sublinearly by matching a compact descriptor such as SIFT. We show that a subsequent ...

    • Efficient Sequential Correspondence Selection by Cosegmentation 

      Autor: Čech, Jan; Matas, Jiří; Perd’och, Michal
      (IEEE, 2010-09)
      In many retrieval, object recognition, and wide-baseline stereo methods, correspondences of interest points (distinguished regions) are commonly established by matching compact descriptors such as SIFTs. We show that a ...

    • 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 ...

    • 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 ...

    • 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. ...

    • 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 ...