• DocumentCode
    3272703
  • Title

    Parallelized 45 degrees rotated image integration

  • Author

    Schweitzer, Michel ; Jaspers, Hanno ; Kubertschak, Tim ; Wuensche, Hans-Joachim

  • Author_Institution
    Tech. Autonomer Syst. (TAS), Univ. der Bundeswehr Munchen, Neubiberg, Germany
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    810
  • Lastpage
    814
  • Abstract
    In [1] Lienhart and Maydt introduced the calculation of rotated Haar-Wavelets by 45°. They showed that the extended set of possible wavelets improves the object recognition method of Viola et al. [2]. In this paper, we introduce a novel integral image structure which holds the information of a standard and a 45° rotated integral image. We use this image structure to improve a simple and efficient corner detector by Schweitzer and Wuensche [3] based on Haar wavelets in terms of rotational invariance and define an orientation function. Additionally, we focus on parallelization and remove the recursive character of [1] to make the method suitable for GPUs.
  • Keywords
    Haar transforms; edge detection; feature extraction; graphics processing units; object recognition; wavelet transforms; GPU; corner detector; integral image structure; object recognition method; parallelized 45 degrees rotated image integration; rotated Haar wavelet; rotational invariance; Computer vision; Detectors; Equations; Feature extraction; Mathematical model; Standards; Visualization; Feature Extraction; GPU; Integral Image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738167
  • Filename
    6738167