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

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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

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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

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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

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Rules for skin-color region extraction 2/3

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Rules for skin-color region extraction 3/3

Filter out the non-skin

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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)

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Rules for component verifications and face region determination

Angle be in the range [-45 45]

Spatial rules

Geometry rules

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The arbitration of confusing eye–lip triangles

Skin color ratio (SCR)

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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.

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Performance evaluation 1/5

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Performance evaluation 2/5

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Performance evaluation 3/5

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Performance evaluation 4/5

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Performance evaluation 5/5

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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.

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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