Real Time 3D Face Pose Discrimination Based On Active IR Illumination

In this paper, we introduce a new approach for realtime 3D face pose discrimination based on active IR illumination from a monocular view of the camera. Under the IR illumination; the pupils appear bright. We develop algorithms for efficient and robust detection and tracking pupils in real time. Based on the geometric distortions of pupils under different face orientations, an eigen eye feature space is built based on training data that captures the relationship between 3D face orientation and the geometric features of the pupils. The 3D face pose for an input query image is subsequently classified using the eigen eye feature space. In this paper, we present a new model-based approach. Our approach determines 3D face pose from a monocular view of the face. Our study shows that there exists a direct correlation between 3D face pose and the geometric properties of pupils such as pupils size, inter-pupil distance, and pupils shape. These relationships are exploited to classify 3D face poses.