11-07-2012, 01:17 PM
An Adaptive Image Enhancement Algorithm for Face Detection
[attachment=27440]
Problem in Face Detection
Almost every face-detection methods depends on the intensity values of image
Face detection under unconstrained condition result in failure because of the drastic variation of pixel intensity in face regions
Image enhancement by intensity transformation can reduce this problem, with histogram equalization (HE).
HE applied to images with faces on a very light background, it may produce very dark face regions face detection failure.
Conclusion and future works
Image enhancement is very important technique for face detection, especially in the images acquired in unconstrained illumination condition
Unsuitable enhancement can increase detection-failure rate
AE algorithm estimate the image quality base on EER and intensity histogram and select best transform
It performs much better than classical HE method
[attachment=27440]
Problem in Face Detection
Almost every face-detection methods depends on the intensity values of image
Face detection under unconstrained condition result in failure because of the drastic variation of pixel intensity in face regions
Image enhancement by intensity transformation can reduce this problem, with histogram equalization (HE).
HE applied to images with faces on a very light background, it may produce very dark face regions face detection failure.
Conclusion and future works
Image enhancement is very important technique for face detection, especially in the images acquired in unconstrained illumination condition
Unsuitable enhancement can increase detection-failure rate
AE algorithm estimate the image quality base on EER and intensity histogram and select best transform
It performs much better than classical HE method