@inproceedings{e3a1e613437c435c96d5b18094411ae7,
title = "Facial animation based on 2D shape regression",
abstract = "We present a facial animation system for ordinary singlecameral videos based on 2D shape regression. Unlike some prior facial animation techniques, our system doesn{\textquoteright}t need complex equipment. The system consists of firstly a Cascade Multi-Channel Convolutional Neural Network (CMC-CNN) model to accurately detect facial landmarks from 2D video frames. Based on these detected 2D points, the facial motion parameters, including the head pose and facial expressions, are recovered. Then the system animates a bone-driven 3D avatar with the facial motion parameters. Experiments show that our system can accurately detect facial landmarks and the animation results are visually plausible and similar to the user{\textquoteright}s facial motion.",
keywords = "3D avatars, Facial animation, Video tracking",
author = "Ruibin Bai and Qiqi Hou and Jinjun Wang and Yihong Gong",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th Pacific-Rim Conference on Multimedia, PCM 2016 ; Conference date: 15-09-2016 Through 16-09-2016",
year = "2016",
doi = "10.1007/978-3-319-48896-7\_4",
language = "英语",
isbn = "9783319488950",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "33--42",
editor = "Enqing Chen and Yun Tie and Yihong Gong",
booktitle = "Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings",
}