A Novel Method for Post-Surgery Face Recognition Using Sum of Facial Parts Recognition
Abstract
Plastic surgery is becoming more and more commonplace today due to its increasing acceptance in society and its cost-affordability. This in turn has led to the need for developing highly accurate post-surgery face recognition techniques, a problem space which differs significantly from traditional face recognition. In this paper we first conduct a statistical study to show that facial plastic surgery operations correlate with a desire to conform to a golden ratio with respect to the human face. We then apply this knowledge, with the notion of considering a face in terms of the sum of its parts, to propose a novel face recognition technique. The proposed technique is then evaluated against well known datasets, and as per our experiments achieves a recognition rate of 85.35%, which significantly outperforms other state of the art techniques.
Cite
Text
Feng and Prabhakaran. "A Novel Method for Post-Surgery Face Recognition Using Sum of Facial Parts Recognition." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014. doi:10.1109/WACV.2014.6835984Markdown
[Feng and Prabhakaran. "A Novel Method for Post-Surgery Face Recognition Using Sum of Facial Parts Recognition." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014.](https://mlanthology.org/wacv/2014/feng2014wacv-novel/) doi:10.1109/WACV.2014.6835984BibTeX
@inproceedings{feng2014wacv-novel,
title = {{A Novel Method for Post-Surgery Face Recognition Using Sum of Facial Parts Recognition}},
author = {Feng, Ranran and Prabhakaran, Balakrishnan},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2014},
pages = {1082-1089},
doi = {10.1109/WACV.2014.6835984},
url = {https://mlanthology.org/wacv/2014/feng2014wacv-novel/}
}