@inproceedings{98b5725624b344debce9199cf39eb4fb,
title = "A face replacement system based on 3D face model",
abstract = "In this paper, an efficient face replacement system based on 3D model is developed, which consists of four parts. First, given an input video containing a source face rotating from frontal to profile, after two manual clicks on a profile to tell the system where the eye corner and bottom of the chin are, a realistic looking source face 3D model is generated. Secondly, Random Forests Algorithm (RFA) is used to estimate target face pose. Thirdly, a source face image is rendered based on the result of pose estimation and color transfer method. Finally, Poisson image fusion algorithm for boundary blurring is used to seamlessly synthesize the source face into the target image. The effectiveness of our system is demonstrated with a set of experiments.",
keywords = "Color transfer, Face modeling, Face replacement, Poisson image fusion, Pose estimation",
author = "Hong Song and Jie Lv and He Liu and Qingjie Zhao",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; Chinese Intelligent Automation Conference, 2015 ; Conference date: 01-01-2015",
year = "2015",
doi = "10.1007/978-3-662-46469-4_25",
language = "English",
isbn = "9783662464687",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "237--246",
editor = "Zhidong Deng and Hongbo Li",
booktitle = "Proceedings of the 2015 Chinese Intelligent Automation Conference - Intelligent Information Processing",
address = "Germany",
}