Statistics in face recognition: analyzing probability distributions of PCA, ICA and LDA performance results

@article{Delac2005StatisticsIF,
  title={Statistics in face recognition: analyzing probability distributions of PCA, ICA and LDA performance results},
  author={Kresimir Delac and Mislav Grgic and Sonja Grgic},
  journal={ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.},
  year={2005},
  pages={289-294}
}
In this paper we address the issue of evaluating face recognition algorithms using descriptive statistical tools. By using permutation methodology in a Monte Carlo sampling procedure, we investigate recognition rate results probability distributions of some well-known algorithms (namely, PCA, ICA and LDA). With a lot of contradictory literature on comparisons of those algorithms, we believe that this kind of independent study is important and serves to better understanding of each algorithm. We… CONTINUE READING
Highly Cited
This paper has 29 citations. REVIEW CITATIONS