Automatic Region Detection of Facial Feature using Haar Transform

Vol.7 No.2

Year: 2012

Issue: October-December

Title: Automatic Region Detection of Facial Feature using Haar Transform   

Author Name: N.S Priya   

Synopsis:   

This paper proposes Automatic region detection of facial features in an image that can be important stage for various facial image manipulation works, such as face recognition, facial expression recognition, 3D face modeling and facial features tracking. Region detection of facial features like eye, pupil, mouth, nose, nostrils, lip corners, eye corners etc., with different facial image with neutral region selection and illumination is a challenging task. In this paper, we presented different methods for fully automatic region detection of facial features. Object detector is used along with haar-like cascaded features in order to detect face, eyes and nose. Novel techniques using the basic concepts of facial geometry are proposed to locate the mouth position, nose position and eyes position. The estimation of detection region for features like eye, nose and mouth enhanced the detection accuracy effectively. An algorithm, using the H-plane of the HSV color space is proposed for detecting eye pupil from the eye detected region. Proposed algorithm is tested over 100 frontal face images with two different facial expressions (neutral face and smiling face).