Face Recognition Using Active Appearance Models
Abstract
We present a new framework for interpreting face images and image sequences using an Active Appearance Model (AAM). The AAM contains a statistical, photo-realistic model of the shape and grey-level appearance of faces. This paper demonstrates the use of the AAM's efficient iterative matching scheme for image interpretation. We use the AAM as a basis for face recognition, obtain good results for difficult images. We show how the AAM framework allows identity information to be decoupled from other variation, allowing evidence of identity to be integrated over a sequence. The AAM approach makes optimal use of the evidence from either a single image or image sequence. Since we derive a complete description of a given image our method can be used as the basis for a range of face image interpretation tasks.
Cite
Text
Edwards et al. "Face Recognition Using Active Appearance Models." European Conference on Computer Vision, 1998. doi:10.1007/BFB0054766Markdown
[Edwards et al. "Face Recognition Using Active Appearance Models." European Conference on Computer Vision, 1998.](https://mlanthology.org/eccv/1998/edwards1998eccv-face/) doi:10.1007/BFB0054766BibTeX
@inproceedings{edwards1998eccv-face,
title = {{Face Recognition Using Active Appearance Models}},
author = {Edwards, Gareth J. and Cootes, Timothy F. and Taylor, Christopher J.},
booktitle = {European Conference on Computer Vision},
year = {1998},
pages = {581-595},
doi = {10.1007/BFB0054766},
url = {https://mlanthology.org/eccv/1998/edwards1998eccv-face/}
}