A Statistical Approach for Comparing the Performances of Corner Detectors

Kanwal N., Ehsan S., BOSTANCI G. E., Clark A. F.

IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), Victoria, Kanada, 23 - 26 Ağustos 2011, ss.321-326 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/pacrim.2011.6032913
  • Basıldığı Şehir: Victoria
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.321-326
  • Ankara Üniversitesi Adresli: Evet

Özet

Corner detectors are widely used in computer vision. This paper assesses several state-of-the-art corner detectors in terms of overall performance and the internal angles of corners using simple geometric shapes. This assessment is carried out using a statistically-valid null hypothesis approach, not previously used in computer vision. It is found that there are statistically significant differences in performance. Moreover, the null hypothesis approach is easy to use in comparing vision techniques.