Horizontal Human Face Pose Determination Using Pupils and Skin Region Positions

Abstract

This paper describes a novel real-time technique to determine horizontal human face pose from a video color sequence. The idea underlying this technique is that when head is at an arbitrary pose to the right or left, there are significant relationships between the distance from center of both pupils to head center, and the distance between both pupils. From these distances, we compute a ratio known as "horizontal ratio". This ratio, besides being advantageous in the sense that it reduces the dependency on facial features tracking accuracy and robust to noise, is actually the quantity that is used to determine the horizontal human face pose. The technique is simple, computational cheap and requires only information that is usually retrievable from a face and facial feature tracker.

Face Pose Estimation From Video Sequence Using Dynamic Bayesian Network

“…This is done by observing two quantities; both pupils distance and distance from the pupil on the side face is facing to skin edge. A brief introduction to HCM is given below while the details on HCM including the proof for H can be found in [17]. In the same paper, we also show that horizontal human face pose can also be determined from the horizontal ratio that we have proposed.…”