@inproceedings{9eab21962055493883d8c525a315e925,
title = "Eyes location using a neural network",
abstract = "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.",
author = "Feng, {Xiao Yi} and Yang, {Li Ping} and Zhi Dang and Matti Pieti{\"k}inen",
year = "2006",
doi = "10.1007/11760023_69",
language = "英语",
isbn = "3540344373",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "474--479",
booktitle = "Advances in Neural Networks - ISNN 2006",
note = "3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks ; Conference date: 28-05-2006 Through 01-06-2006",
}