Eyes Location Using a Neural Network
This paper proposed a neural network based method for eyes location. In our work, face area is first located initially using an illumination invariant face skin model; Then, it is segmented by the combination of image transformation and a competitive Hopfield neural network (CHNN) and facial feature candidates such as eyes, eyebrows and mouth are obtained; Finally, eyes are located by facial features evaluation and validation, which is based on face’s geometrical structures. Experimental results show that our system performs well under not good lighting conditions.
KeywordsFacial Feature Face Detection Gesture Recognition Facial Expression Recognition Automatic Face
Unable to display preview. Download preview PDF.
- 4.Kapoor, A., Picard, R.W.: Real-Time, Fully Automatic Upper Facial Feature Tracking. In: Williams, A.D. (ed.) Fifth IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 10–15 (2002)Google Scholar
- 6.Yoo, D.H., Chung, M.J.: Non-Intrusive Eye Gaze Estimation without Knowledge of Eye Pose. In: Proc. Sixth IEEE Int. Conf. Automatic Face and Gesture Recognition, pp. 785–790 (2004)Google Scholar
- 7.Martinkauppi, B.: Face Color under Varying Illumination-Analysis and Applications. University of Oulu, Finland (2002)Google Scholar
- 8.Hannuksela, J.: Facial Feature based Head Tracking and Pose Estimation. University of Oulu, Finland (2003)Google Scholar