An efficient face detection method using skin-color discovering and chain code

• Autorzy: Ho K. I. J. , Chen T. S. , Cheng C. Y.
• Języki publikacji: EN

Abstrakty

EN

In this paper, we propose a method to local human faces in color image. For color images, the skin color is an important key feature for human face detection. Thus, this paper applied skin color information to segmented human face areas: first, we reduce the size of the color image, hold its ratio, and detect skin color pixels in the resized image based on the properties of skin color. Next, our method employs the detected pixels and chain code to locate continuous areas. Finally, we check the width and the height of each located area, and filter out the non-facial ones. The remaining areas the human face regions. To fully explore the efficiency and effectiveness of the proposed method, we conduct a lot of experiments on the test image used in other papers. The experimental results show that both the false positive and false negative rates are eiter equal to or better than those obtained in previous research results. Moreover, in most of experiments, the processing time of our method is shorter.

Słowa kluczowe

EN

face detection; face segmentation; skin color; chain codes

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2002
• Tom: Vol. 11, No. 2/3
• Strony: 241--256
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Ho K. I. J.

• Dept. of Medical Imaging Technology, Chung Shan Medical University, Taiwan

autor

Chen T. S.

• Dep. of Information Management National, Taichung Institute of Technology, Taiwan, R.O.C.

autor

Cheng C. Y.

• Dep. of Information Management National, Taichung Institute of Technology, Taiwan, R.O.C.

Bibliografia

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