Horizontal human face pose determination using pupils and skin region positions

Authors:
Shahrel A. Suandi;Tie Sing Tai;Shuichi Enokida;Toshiaki Ejima
Affiliations:
School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia and Intelligence Media Laboratory, Department of Artificial Intelligence, Kyushu Inst ...;School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia;Intelligence Media Laboratory, Department of Artificial Intelligence, Kyushu Institute of Technology, Iizuka City, Fukuoka Pref., Japan;Intelligence Media Laboratory, Department of Artificial Intelligence, Kyushu Institute of Technology, Iizuka City, Fukuoka Pref., Japan
Venue:
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Year:
2007

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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.