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A facial expressions recognition algorithm using image area segmentation and face element

영역 분할과 판단 요소를 이용한 표정 인식 알고리즘

  • Lee, Gye-Jeong (Dept. of Electronics & Communication Engineering, Hanyang University) ;
  • Jeong, Ji-Yong (Dept. of Electronics & Communication Engineering, Hanyang University) ;
  • Hwang, Bo-Hyun (Dept. of EECI Engineering, Hanyang University) ;
  • Choi, Myung-Ryul (Dept. of Electronics & Communication Engineering, Hanyang University)
  • 이계정 (한양대학교 전자통신공학과) ;
  • 정지용 (한양대학교 전자통신공학과) ;
  • 황보현 (한양대학교 전자전기제어계측공학과) ;
  • 최명렬 (한양대학교 전자통신공학과)
  • Received : 2014.09.02
  • Accepted : 2014.12.20
  • Published : 2014.12.28

Abstract

In this paper, we propose a method to recognize the facial expressions by selecting face elements and finding its status. The face elements are selected by using image area segmentation method and the facial expression is decided by using the normal distribution of the change rate of the face elements. In order to recognize the proper facial expression, we have built database of facial expressions of 90 people and propose a method to decide one of the four expressions (happy, anger, stress, and sad). The proposed method has been simulated and verified by face element detection rate and facial expressions recognition rate.

본 논문에서는 사람 얼굴의 표정을 인식하기 위하여 판단 요소를 선정하고 판단 요소의 변화 상태를 파악하여 표정을 인식하는 방법을 제안한다. 판단 요소를 선정하기 위하여 이미지 영역 분할 방법을 사용하며, 판단 요소의 변화율을 이용하여 표정을 판단한다. 표정을 판단하기 위하여 90명의 표정을 데이터베이스화하여 비교하였고, 4개의 표정(웃음, 화남, 짜증, 슬픔)을 인식하는 방법을 제안한다. 제안한 방법은 시뮬레이션을 실시하여 판단 요소 검출 성공률과 표정 인식률을 통해 검증한다.

Keywords

References

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