@inproceedings{0ab125447e254eb2a8149c1743cd5b68,
title = "Analysis and compression of facial animation parameter set (FAPs)",
abstract = "In this paper, a new representation of FAPs based on principal component analysis is proposed. Based on this compact representation, a FAPs compression scheme is designed. A facial expression recognition algorithm using recurrent neural network is also investigated. The inputs to the network are the most significant components of this new data representation. Experimental results show that computational complexity is reduced and expressions can be correctly recognized even with changed sampling rate.",
author = "Hai Tao and Homer Chen and Thomas Huang",
note = "Publisher Copyright: {\textcopyright} 1997 IEEE.; 1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 ; Conference date: 23-06-1997 Through 25-06-1997",
year = "1997",
doi = "10.1109/MMSP.1997.602643",
language = "English (US)",
series = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "245--250",
editor = "Yao Wang and Reibman, {Amy R.} and Juang, {B. H.} and Tsuhan Chen and Sun-Yuan Kung",
booktitle = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
address = "United States",
}