@inproceedings{2fef306790d64b32aaee94cf0828a786,
title = "A hybrid algorithm of facial feature point location based on improved MR-ASM and AAM",
abstract = "Accurate and robust location of feature point is a difficult and complicated issue in face recognition. This paper proposes a facial feature point location algorithm based on improved Multi-Resolution- Active Shape Models (MR-ASM) and Active Appearance Models (AAM). There are three main achievements of our algorithm: 1, we unify MR-ASM and AAM together to improve facial feature point location. 2, AAM is improved so that it has the same implementation framework as ASM. 3, the MR-ASM is adjusted to figure out more robust parameters. Experimental results prove that our algorithm is more accurate than traditional MR-ASM.",
keywords = "AAM, Location of facial feature point, MR-ASM",
author = "Zhang Sicong and Wu Lifang and He Xiaoguang and Tian Jie",
year = "2006",
doi = "10.1109/ICOSP.2006.345774",
language = "英语",
isbn = "0780397371",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "8th International Conference on Signal Processing, ICSP 2006",
address = "美国",
note = "8th International Conference on Signal Processing, ICSP 2006 ; Conference date: 16-11-2006 Through 20-11-2006",
}