A novel method for detecting lips, eyes and faces in real time

  • Authors:

  • Cheng-Chin Chiang;Wen-Kai Tai;Mau-Tsuen Yang;Yi-Ting Huang;Chi-Jaung Huang

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Hualien 974, Taiwan, ROC;Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Hualien 974, Taiwan, ROC;Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Hualien 974, Taiwan, ROC;Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Hualien 974, Taiwan, ROC;Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Hualien 974, Taiwan, ROC

  • Venue:
  • Real-Time Imaging - Special issue on spectral imaging
  • Year:
  • 2003

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Abstract

This paper presents a real-time face detection algorithm for locating faces in images and videos. This algorithm finds not only the face regions, but also the precise locations of the facial components such as eyes and lips. The algorithm starts from the extraction of skin pixels based upon rules derived from a simple quadratic polynomial model. Interestingly, with a minor modification, this polynomial model is also applicable to the extraction of lips. The benefits of applying these two similar polynomial models are twofold. First, much computation time are saved. Second, both extraction processes can be performed simultaneously in one scan of the image or video frame. The eye components are then extracted after the extraction of skin pixels and lips. Afterwards, the algorithm removes the falsely extracted components by verifying with rules derived from the spatial and geometrical relationships of facial components. Finally, the precise face regions are determined accordingly. According to the experimental results, the proposed algorithm exhibits satisfactory performance in terms of both accuracy and speed for detecting faces with wide variations in size, scale, orientation, color, and expressions.