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In this paper the problem of eye detection in 2D grayscale images is addressed. The proposed method analyses the input face images in topographic format. The reason is to alleviate sensitivity of the algorithm to illumination and contrast changes. Invariant moments are used as robust features describing eye shape. A new strategy to select robust features based on their variance among training images...
A new automated mechanism named save-fail for validating face detection is proposed in this paper in order to determine whether or not there does exist faces in the candidate region which was located by the AdaBoost face detection algorithm. The mechanism is based on one simple fact, every face has two eyes and a nose, and human eyes and nose has specified features that can be used to distinguish...
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