• DocumentCode
    2788461
  • Title

    Lococo: low complexity corner detector

  • Author

    Mainali, Pradip ; Yang, Qiong ; Lafruit, Gauthier ; Lauwereins, Rudy ; Gool, L.V.

  • Author_Institution
    Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    810
  • Lastpage
    813
  • Abstract
    The high-speed feature detection is still very demanding for many computer vision applications. In this paper, the Harris and KLT corner detectors are redesigned to reduce the complexity of the algorithm. The complexity of Harris and KLT corner detectors are reduced by using the box kernel, the integral image and efficient non-maximum suppression, achieving complexity reduction by a factor of 8. For the image of size 1000×700, our method costs only 74ms on a commodity CPU with 2GHz and 1GB RAM.
  • Keywords
    computer vision; edge detection; feature extraction; Harris corner detectors; KLT corner detectors; Lococo; box kernel; computer vision; high-speed feature detection; low complexity corner detector; Application software; Computer vision; Costs; Detectors; Karhunen-Loeve transforms; Kernel; Read-write memory; Corner; Feature; Harris; KLT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5494944
  • Filename
    5494944
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2788461