한국산업정보학회논문지 (Journal of the Korea Industrial Information Systems Research)

한국산업정보학회 (Korea Society of Industrial Information Systems)
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깊이 영상을 이용한 지역 이진 패턴 기반의 얼굴인식 방법

Face Recognition Method Based on Local Binary Pattern using Depth Images

  • 권순각 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 김흥준 (동의대학교 컴퓨터소프트웨어공학과) ;
  • 이동석 (동의대학교 컴퓨터소프트웨어공학과)
  • 투고 : 2017.12.06
  • 심사 : 2017.12.28
  • 발행 : 2017.12.31
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초록

기존의 색상기반 얼굴인식 방법은 조명변화에 민감하며, 위변조의 가능성이 있기 때문에 다양한 산업분야에 적용되기 어려운 문제가 있었다. 본 논문에서는 이러한 문제를 해결하기 위해 깊이 영상을 이용한 지역 이진 패턴(LBP) 기반의 얼굴인식 방법을 제안한다. 깊이 정보를 이용한 얼굴 검출 방법과 얼굴 인식을 위한 특징 추출 및 매칭 방법을 구현하고, 모의실험 결과를 바탕으로 제안된 방식의 인식 성능을 나타낸다.

Conventional Color-Based Face Recognition Methods are Sensitive to Illumination Changes, and there are the Possibilities of Forgery and Falsification so that it is Difficult to Apply to Various Industrial Fields. In This Paper, we propose a Face Recognition Method Based on LBP(Local Binary Pattern) using the Depth Images to Solve This Problem. Face Detection Method Using Depth Information and Feature Extraction and Matching Methods for Face Recognition are implemented, the Simulation Results show the Recognition Performance of the Proposed Method.

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과제정보

연구 과제 주관 기관 : 한국연구재단

참고문헌

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