Detection of Smile At Different Pose Variation Through Image Processing

Facial expression are the one of most important features of transferring the emotions like happiness, sad, surprise, anger, disgust, fear among people. In the last past years, Facial expression recognition has been done so much research in computer vision community but smile detection has received less attention . However, Facial expression not only reflects the emotions, but also mental activities, social activities. Smile detection is an interesting problem with many applications. On the other hand, smile can be very useful for measuring the happiness, enjoyment .To detect the problem of smile, ?digital image processing is used to provide same as fast and objective results .In this paper, new techniques used for solving the problem of detection of smile. The intensity differences of pixel in the grayscale faces image are used as features. Adaboost used for improve the performance of classifiers. Our approach is that the faces are correctly classified which have large pose variation. Therefore we investigate more on the detection of smile on face which having large pose variations. And at the last, SVM (Support Vector Machine)? used for better classification and also recognize the pattern. By using this we find the accuracy of variations of pose using as pair of pixels.