Detection of Anchor Points for 3D Face Veri.cation
Abstract
This paper outlines methods to detect key anchor points in 3D face scanner data. These anchor points can be used to estimate the pose and then match the test image to a 3D face model. We present two algorithms for detecting face anchor points in the context of face verification; One for frontal images and one for arbitrary pose. We achieve 99% success in finding anchor points in frontal images and 86% success in scans with large variations in pose and changes in expression. These results demonstrate the challenges in 3D face recognition under arbitrary pose and expression. We are currently working on robust ?tting algorithms to localize more precisely the anchor points for arbitrary pose images.
Cite
Text
Colbry et al. "Detection of Anchor Points for 3D Face Veri.cation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005. doi:10.1109/CVPR.2005.441Markdown
[Colbry et al. "Detection of Anchor Points for 3D Face Veri.cation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005.](https://mlanthology.org/cvprw/2005/colbry2005cvprw-detection/) doi:10.1109/CVPR.2005.441BibTeX
@inproceedings{colbry2005cvprw-detection,
title = {{Detection of Anchor Points for 3D Face Veri.cation}},
author = {Colbry, Dirk and Stockman, George C. and Jain, Anil K.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2005},
pages = {118},
doi = {10.1109/CVPR.2005.441},
url = {https://mlanthology.org/cvprw/2005/colbry2005cvprw-detection/}
}