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Application Study on Object-Recognition Algorithms for Cultural Assets Recognition

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2013, 8(1), pp.47-54
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : February 28, 2013

Kanghee Lee 1 Seok-Hun Kim 2 Sok YounYoung 2 Soo Kyun Kim 3

1숭실대학교
2수원여자대학교
3배재대학교

Accredited

ABSTRACT

This paper studies a fast object recognition application for a low-resource smartphone with a built-in camera. The aim is to recognize the input image captured by a smartphone camera by comparing it with the existing images from DB. HISTOGRAM is used for detecting simple outdoor cultural assets, while SIFT and SURF are used for more complex ones. To prove the feasibility of the lightweight algorithms such as HISTOGRAM, SIFT, and SURF, we implement a fast and effective object recognition system for a smartphone-based local experience of cultural assets such as the Kunjongjon or the Kyonghoeru in Kyongbokkung.

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.