본문 바로가기
  • Home

A Face Detection Method Based on Adaboost Algorithm using New Free Rectangle Feature

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(2), pp.55-64
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

홍용희 1 Youngjun Han 1 Hernsoo Hahn 1

1숭실대학교

Accredited

ABSTRACT

This paper proposes a face detection method using Free Rectangle feature which possesses a quick execution time and a high efficiency. The proposed mask of Free Rectangle feature is composed of two separable rectangles with the same area. In order to increase the feature diversity, Haar-like feature generally uses a complex mask composed of two or more rectangles. But the proposed feature mask can get a lot of very efficient features according to any position and scale of two rectangles on the feature window. Moreover, the Free Rectangle feature can largely reduce the execution time since it is defined as the only difference of the sum of pixels of two rectangles irrespective of the mask type. Since it yields a quick detection speed and good detection rates on real world images, the proposed face detection method based on Adaboost algorithm is easily applied to detect another object by changing the training dataset.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.