| Summary: | 碩士 === 國立交通大學 === 資訊工程系 === 87 === We propose a method for detecting human faces in a color picture.
By applying a skin color model,
we label some rectangular regions in the picture as skin.
After merging several small skin regions and sifting the proper ones,
we can quickly locate the possible face images in a picture.
Since the skin regions are relative smaller than the original picture image,
the overall computing time can be greatly reduced.
In order to precisely locate the eye in the face image,
we use some criteria such as the distance between two eyes,
the intensity of the neighborhood and a circular pattern to locate both eyes.
Finally one can use the coordinates of both eyes to properly
extract the facial features for face recognition and/or some other applications.
We also perform some experiments on the proposed method.
Our face database contains 755 images taken from 151 persons.
Each person has five photos taken from five different angles
($0^{\circ}, \pm22.5^{\circ},\pm45^{\circ}$)
The correction rate is 67.55\% with fault toleration smaller than 3 pixels,
and 70.20\% with fault toleration smaller than 5 pixels.
The average overall running time is 0.83 second on a AMD-K6-2 300 machine.
|
|---|
