• DocumentCode
    2530049
  • Title

    Hausdorff Metric based Feature Extractor

  • Author

    Sarma, R. Raghunath ; Sudhir, V. ; Sreedharan, K.S. ; Rao, G. V Prabhakar

  • Author_Institution
    Sri Sathya Sai Inst. of Higher Learning, Prasanthinilayam
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we propose a new template based feature extractor called Hausdorff Metric Feature Extractor (HMFE). This feature extractor makes use of Hausdorff distance metric for calculating the corner strength. The working of HMFE is justified using the concept of derivatives and gradients. We have also analysed the performance of HMFE under the five criteria: detection, localisation, repeatability, complexity and sensitivity to noise. The performance of HMFE is comparable with Harris and KLT and in some cases it even outperformed them. We have also extended HMFE for colour domain- CHMFE.
  • Keywords
    feature extraction; image colour analysis; HMFE; Hausdorff metric feature extractor; colour domain; distance metric; Colored noise; Detectors; Educational institutions; Face recognition; Feature extraction; Image coding; Karhunen-Loeve transforms; Performance analysis; Pixel; Robustness; Hausdorff distance; directional derivative; feature extraction; feature template;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2008 - 2008 IEEE Region 10 Conference
  • Conference_Location
    Hyderabad
  • Print_ISBN
    978-1-4244-2408-5
  • Electronic_ISBN
    978-1-4244-2409-2
  • Type

    conf

  • DOI
    10.1109/TENCON.2008.4766702
  • Filename
    4766702