@inproceedings{3a07ab19ac1149b2ad4cac02a0cdb965,
title = "Face correction and recognition of multi-pose based on Gaussian process regression",
abstract = "To solve the problem of the decline in success rate of face recognition with the change of facial attitude, We analyze the relationship of contour between frontal face and side face based on Gaussian process regression and propose a method to process side face with horizontal angle from -45° to +45°. We experiment in Multi-Pie and FERET database and the result shows the method in this paper significantly improves the success rate of side face recognition.",
keywords = "Face correction, Face recognition, Gaussian process regression, Multi-pose",
author = "Yang Gewei and Zhang Qinyu and Yang Anli and Wang Panzhenzhuan",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016 ; Conference date: 03-10-2016 Through 05-10-2016",
year = "2017",
month = feb,
day = "28",
doi = "10.1109/IMCEC.2016.7867502",
language = "英语",
series = "Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1674--1678",
editor = "Bing Xu",
booktitle = "Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016",
address = "美国",
}