Detection of Facial Feature Points Using Anthropometric Face Model

Abstract

This paper presents an automatic technique for detecting the 18-most important facial feature points using a statistically developed anthropometric face model. Most of the important facial feature points are located just about the area of mouth, nose, eyes and eyebrows. After carefully observing the structural symmetry of human face and performing necessary anthropometric measurements, we have been able to build a model that can be used in isolating the above mentioned facial feature regions. In the proposed model, distance between the two eye centers serves as the principal parameter of measurement for locating the centers of other facial feature regions. Hence, our method works by detecting the two eye centers in every possible situation of eyes and isolating each of the facial feature regions using the proposed model. Combinations of differnt image processing techniques are then applied within the localized regions for detecting the 18-most important facial feature points. Experimental result shows that the developed system can detect the 18-feature points successfully in 90.44% cases when applied over the test databases.