A Framework for Recognizing a Facial Image from a Police Sketch
Abstract
We present a theory and practical computations for automatically matching a police artist sketch to a set of true photographs. We locate facial features in both the sketch as well as the set of photograph images. Then, the sketch is photometrically standardized to facilitate comparison with a photo and then both the sketch and the photos are geometrically standardized. Finally, for matching, eigenanalysis is employed. Results using real police sketches and arrest photos are presented.
Cite
Text
Jr. and da Vitoria Lobo. "A Framework for Recognizing a Facial Image from a Police Sketch." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517132Markdown
[Jr. and da Vitoria Lobo. "A Framework for Recognizing a Facial Image from a Police Sketch." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/jr1996cvpr-framework/) doi:10.1109/CVPR.1996.517132BibTeX
@inproceedings{jr1996cvpr-framework,
title = {{A Framework for Recognizing a Facial Image from a Police Sketch}},
author = {Jr., Robert G. Uhl and da Vitoria Lobo, Niels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1996},
pages = {586-593},
doi = {10.1109/CVPR.1996.517132},
url = {https://mlanthology.org/cvpr/1996/jr1996cvpr-framework/}
}