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Real-Time Facial Feature Detection using a Novel Method

This paper presents a real-time method for detecting lips, eyes, and faces in images and videos. The method accurately locates the facial components and removes falsely extracted components. It incorporates rules derived from spatial and geometrical relationships of facial components. Experimental results show both accuracy and speed in detecting faces.

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Real-Time Facial Feature Detection using a Novel Method

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  1. A novel method for detecting lips , eyes and faces in real time Real-Time Imaging (2003) 277–287 Cheng-Chin Chiang*,Wen-Kai Tai,Mau-Tsuen Yang, Yi-Ting Huang,Chi-Jaung Huang Department of Computer Science and Information Engineering, National Dong Hwa University 報告者 何寬宸

  2. Real-time face detection algorithm • Real-time face detection • locating faces in images and videos • finds not only the face regions • precise locations of the facial components (eyes and lips) • Simple quadratic polynomial model • skin pixels • lips • Removes the falsely extracted components • verifying with rules derived from the spatial and geometrical relationships of facial components. • Experimental results • both accuracy and speed for detecting faces

  3. Rules for skin-color region extraction 1/3 • The purpose • reduce the searching time for possible face regions • Alleviate the influence of environment light brightness • adopts the chromatic color coordinate for color representation

  4. Rules for skin-color region extraction 2/3

  5. Rules for skin-color region extraction 3/3 • Filter out the non-skin

  6. Rules for lips and eyes detection • Higher extraction speed • The discrimination function should be computationally efficient • The detection of lip pixels can be done in parallel with the detection of skin pixels in one scan of the image or video frame. • Eye components are extracted • histogram-equalized grayscale image • threshold operation (Threshold =20)

  7. Rules for component verifications and face region determination • Angle • be in the range [-45 45] • Spatial rules • Geometry rules

  8. The arbitration of confusing eye–lip triangles • Skin color ratio (SCR)

  9. Performance evaluation • The implemented system has two modes of operations. • detect faces in video frames captured from a PC camera in real time. • off-line mode that is designed to detect faces in still images. • Among these 1000 images • 815 images with the dimension of 320 X240 • 185 images from WWW.

  10. Performance evaluation 1/5

  11. Performance evaluation 2/5

  12. Performance evaluation 3/5

  13. Performance evaluation 4/5

  14. Performance evaluation 5/5

  15. Concluding remarks • The light condition must be normal. • light compensation/correction pre-processing • The facial components must appear on the images as clearly as possible • developing more improved component-based detection • verification process for incomplete facial components.

  16. Vision and Autonomous • Systems Center (VSAC) of CMU,on the web page • http://vasc.ri.cmu.edu/cgi-bin/demos/findface.cgi.

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