比較Opencv自帶的eye檢測器

CascadeClassifier *lbpcascade_frontalface = new CascadeClassifier("./xml/lbpcascade_frontalface.xml");
CascadeClassifier *haarcascade_eye = new CascadeClassifier("./xml/haarcascade_eye.xml");
CascadeClassifier *haarcascade_eye_tree_eyeglasses = new CascadeClassifier("./xml/haarcascade_eye_tree_eyeglasses.xml");
CascadeClassifier *haarcascade_mcs_eyepair_big = new CascadeClassifier("./xml/haarcascade_mcs_eyepair_big.xml");
CascadeClassifier *haarcascade_mcs_eyepair_small = new CascadeClassifier("./xml/haarcascade_mcs_eyepair_small.xml");
CascadeClassifier *haarcascade_lefteye_2splits = new CascadeClassifier("./xml/haarcascade_lefteye_2splits.xml");
CascadeClassifier *haarcascade_righteye_2splits = new CascadeClassifier("./xml/haarcascade_righteye_2splits.xml");
CascadeClassifier *haarcascade_mcs_lefteye = new CascadeClassifier("./xml/haarcascade_mcs_lefteye.xml");
CascadeClassifier *haarcascade_mcs_righteye = new CascadeClassifier("./xml/haarcascade_mcs_righteye.xml");
採用opencv自帶的LBP人臉檢測器進行檢測，將檢測結果的上半部分輸入眼睛檢測器，檢測結果一次爲

eye\eye_tree_eyeglass\

eye_tree_eyeglass檢測結果較好，但是出現漏檢

mcs_eyepair_big\mcs_eyepair_small\

eyepair是檢測眼鏡使用的，由此檢測可以看出，檢測結果未必準確。

lefteye_2split\mcs_lefteye\

righteye_2split\mcs_righteye\

相對於split，mcs的檢測結果要好很多。