Now showing items 1-3 of 3

    • Efficient Sequential Correspondence Selection by Cosegmentation 

      Author: 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 ...
    • Image Matching and Retrieval by Repetitive Patterns 

      Author: 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. ...
    • Large-Scale Discovery of Spatially Related Images 

      Author: 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 ...