Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
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New Template Based Face Recognition Using Log-polar Mapping and Affine Transformation

로그폴라 사상과 어파인 변환을 이용한 새로운 템플릿 기반 얼굴 인식

  • Kim, Mun-Gab (Yong-In Songdam College, Dept. of Digital Electronics & Information) ;
  • Choi, Il (Kumi College, Dept. of Information and Communications) ;
  • Chien, Sung-Il (Kyungpook National University, School of Electrical Engineering and Computer Science)
  • 김문갑 (용인송담대학 디지털전자정보과) ;
  • 최일 (구미1대학 정보통신과) ;
  • 진성일 (경북대학교 전자전기컴퓨터학부)
  • Published : 2002.03.01
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Abstract

This paper presents the new template based human face recognition methods to improve the recognition performance against scale and in-plane rotation variations of face images. To enhance the recognition performance, the templates are generated by linear or nonlinear operation on multiple images including different scales and rotations of faces. As the invariant features to allow for scale and rotation variations of face images, we adopt the affine transformation, the log-polar mapping, and the log-polar image based FFT. The proposed recognition methods are evaluated in terms of the recognition rate and the processing time. Experimental results show that the proposed template based methods lead to higher recognition rate than the single image based one. The affine transformation based face recognition method shows marginally higher recognition rate than those of the log-polar mapping based method and the log-polar image based FFT, while, in the aspect of processing time, the log-polar mapping based method is the fastest one.

이 논문에서는 크기와 영상 평면상에서 회전 (in-plane rotation) 변화를 가지는 정면 얼굴 영상의 인식성능을 향상시키기 위하여, 새로운 템플릿 (template) 기반 접근 방법들을 제안한다. 인식 성능을 향상시키기 위한 템플릿들은 크기와 회전 변화가 다른 다수의 영상들을 선형 또는 비선형 연산에 의하여 생성된다. 얼굴의 크기와 영상 평면에서 회전 변화에 무관한 얼굴의 특징을 추출하기 위하여 어파인 (affine) 변환, 로그폴라 (log-polar) 사상, 그리고 로그폴라 영상에 기반한 FFT들이 이용된다. 제안된 방법들은 인식률과 수행 시간 측면에서 비교된다. 실험 결과로부터 제안된 템플릿을 이용한 방법들의 인식률이 한 장의 영상으로 생성된 템플릿을 이용한 방법들의 인식률보다 우수함을 나타낸다. 어파인 변환을 이용한 방법의 인식률이 로그폴라 사상을 이용한 방법과 로그폴라 영상에 기반한 FFT 방법의 인식률보다 우수하며, 수행 시간 측면에서는 로그폴라 사상을 이용한 방법이 가장 빠르다.

Keywords

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