Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Study of Improving LDP Code Using Edge Directional Information

에지 방향 정보를 이용한 LDP 코드 개선에 관한 연구

  • Lee, Tae Hwan (Department of Computer Engineering, Kyunghee University) ;
  • Cho, Young Tak (Department of Computer Engineering, Kyunghee University) ;
  • Ahn, Yong Hak (Department of Computer Engineering, Sejong University) ;
  • Chae, Ok Sam (Department of Computer Engineering, Kyunghee University)
  • 이태환 (경희대학교 전자정보대학 컴퓨터 공학과) ;
  • 조영탁 (경희대학교 전자정보대학 컴퓨터 공학과) ;
  • 안용학 (세종대학교 전자정보공학대학 컴퓨터공학과) ;
  • 채옥삼 (경희대학교 전자정보대학 컴퓨터 공학과)
  • Received : 2015.03.26
  • Accepted : 2015.07.03
  • Published : 2015.07.25
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Abstract

This study proposes new LDP code to improve facial expression recognition rate by including local directional number(LDN), edge magnitudes and differences of neighborhood edge intensity. LDP is less sensitive on the change of intensity and stronger about noise than LBP. But LDP is difficult to express the smooth area without changing of intensity and if background image has the similar pattern with a face, the facial expression recognition rate of LDP is low. Therefore, we make the LDP code has the local directional number and the edge strength and experiment the facial expression recognition rate of changed LDP code.

본 논문에서는 지역적인 에지의 방향 정보와 반응 크기, 주변 화소와의 밝기값 차이를 LDP 코드에 포함함으로써 얼굴 표정 인식률을 향상시킨다. 기존 LDP 코드를 사용하면 LBP에 비해서 영상의 밝기 변화에 덜 민감하고 잡음에 강한 장점을 가진다. 하지만, 밝기 변화가 없는 매끄러운 영역의 정보를 표현하기 어렵고, 배경에 얼굴과 유사한 에지 패턴이 존재하는 경우에는 인식률이 저하되는 문제점이 있다. 따라서 에지 방향 정보를 기반으로 에지 강도 및 밝기값을 추가할 수 있도록 LDP 코드를 개선하고, 인식률을 측정한다.

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References

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