템플릿과 타원정보를 이용한 얼굴검출

Face Detection using Template Matching and Ellipse Fitting

  • 발행 : 1999.11.01

초록

This paper proposes a new detection method of human faces in grey scale images with cluttered background using a facial template and elliptical structure of the human head. Face detection technique can be applied in many areas of image processing such as face recognition, composition and computer graphics, etc. Until now, many researches about face detection have been done, and applications in more complicated conditions are increasing. The existing technique proposed by Sirohey shows relatively good performance in image with cluttered background, but can apply only to image with one face and needs much computation time. The proposed method is designed to reduce complexity and be applied even in the image with several faces by introducing template matching as preprocess. The results show that the proposed method produces more correct detection rate and needs less computation time than the existing one.

키워드

참고문헌

  1. Proc. IEEE v.83 no.5 Human and Machine Recognition of Faces : A Survey R. Chellappa;Charles L. Wilson;S. Sirohey
  2. Proc. ICASSP'97 Rule-Based Face Detection In Frontal Views C. Katropoulos;I. Pitas
  3. Proc. IEEE Workshop on Visual Motion Segmentation of People in Motion A. Shio;J. Sklansky
  4. Tech. Rep. CAR-TR-695, Center for Autom. Res., Univ. Marylan Human Face Segmentation and Identification S. A Sirohey
  5. Int. Journal of Computer Vision v.23 no.1 SUSAN - A New Approach to Low Level Image Processing S. M. Smith;J. M. Brady
  6. Proc. IEEE Computer Soc. Conf. on Computer Vision and Patt. Recog. Feature Extraction from Faces using Deformable Temolates A. Yuille;D. Cohen;P. Hallinan