Analysis and Synthesis of Facial Expression using Base Faces

기준얼굴을 이용한 얼굴표정 분석 및 합성

  • 박문호 (연세대학교 컴퓨터과학과, 한국과학기술연구원 영상미디어연구센터) ;
  • 고희동 (한국과학기술원 영상미디어연구센터) ;
  • 변혜란 (연세대학교 컴퓨터과학과)
  • Published : 2000.08.15

Abstract

Facial expression is an effective tool to express human emotion. In this paper, a facial expression analysis method based on the base faces and their blending ratio is proposed. The seven base faces were chosen as axes describing and analyzing arbitrary facial expression. We set up seven facial expressions such as, surprise, fear, anger, disgust, happiness, sadness, and expressionless as base faces. Facial expression was built by fitting generic 3D facial model to facial image. Two comparable methods, Genetic Algorithms and Simulated Annealing were used to search the blending ratio of base faces. The usefulness of the proposed method for facial expression analysis was proved by the facial expression synthesis results.

본 논문에서는 인간의 중요한 감정표현 수단인 얼굴표정을 분석하는 방법을 제시하였다. 제안된 방법에서는 기준얼굴과 그의 혼합 비율의 관점에서 얼굴표정을 분석한다. 기준얼굴은 인간의 대표적인 얼굴표정인 놀람, 두려움, 분노, 혐오, 행복, 슬픔, 그리고 무표정으로 설정하였다. 얼굴 모델의 생성을 위해 일반 얼굴 모델이 얼굴영상으로 정합하는 방법을 사용하였다. 기준얼굴의 혼합 비율을 구하기 위해 유전자 알고리즘과 Simulated Annealing 방법을 사용하였고 탐색된 얼굴표정 정보를 이용한 얼굴표정 생성 실험을 통해 제안된 방법의 유용성을 입증하였다.

Keywords

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