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This study presents a new method for precise detection of frontal human faces and eyes using a multi-level ellipse detector combined with a support vector machines verifier. Main contribution of this study lies in improving the accuracy of eye detection in high-quality images, which is often neglected by alternative methods. Although many approaches to face detection have been proposed recently, relatively...
The paper presents an algorithm for frontal face detection. At first a set of face candidates is selected based on ellipse detection with the Hough transform. Subsequently, every candidate is verified and for positive verification the detection precision is improved, which is particularly important for face recognition purposes. Results of conducted experiments, which are discussed in the paper, confirm...
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