Age Classification from Facial Images

Kwon, Young Ho; da Vitoria Lobo, Niels

doi:10.1109/CVPR.1994.323894

Age Classification from Facial Images

Young Ho Kwon, Niels da Vitoria Lobo

CVPR 1994 pp. 762-767

doi:10.1109/CVPR.1994.323894 /cvpr/1994/kwon1994cvpr-age/

Abstract

The ability to classify age from a facial image has not been pursued in computer vision. This research addresses the limited task of age classification of a facial image into a baby, young adult, and senior adult. This is the first reported work to classify age, and to successfully extract and use natural wrinkles. We present a theory and practical computations for visual age classification from facial images, based on cranio-facial changes in feature-position ratios, and on skin wrinkle analysis. Three age groups are classified.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Kwon and da Vitoria Lobo. "Age Classification from Facial Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323894

Markdown

[Kwon and da Vitoria Lobo. "Age Classification from Facial Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/kwon1994cvpr-age/) doi:10.1109/CVPR.1994.323894

BibTeX

@inproceedings{kwon1994cvpr-age,
  title     = {{Age Classification from Facial Images}},
  author    = {Kwon, Young Ho and da Vitoria Lobo, Niels},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {762-767},
  doi       = {10.1109/CVPR.1994.323894},
  url       = {https://mlanthology.org/cvpr/1994/kwon1994cvpr-age/}
}