Comparing different classifiers for automatic age estimation

@article{Lanitis2004ComparingDC,
  title={Comparing different classifiers for automatic age estimation},
  author={A. Lanitis and Chrisina Draganova and C. Christodoulou},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2004},
  volume={34},
  pages={621-628}
}
We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used as the basis for obtaining a compact parametric description of face images. The aim of our work is to design classifiers that accept the model-based representation of unseen images and produce an estimate of the age of the person in the corresponding face image. For this… CONTINUE READING
Highly Influential
This paper has highly influenced 58 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 517 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 317 extracted citations

517 Citations

0204060'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 517 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…