Optimization Design of Cascaded Classifiers

Luo, Huitao

doi:10.1109/CVPR.2005.266

Optimization Design of Cascaded Classifiers

Huitao Luo

CVPR 2005 pp. 480-485

doi:10.1109/CVPR.2005.266 /cvpr/2005/luo2005cvpr-optimization/

Abstract

We present two optimization algorithms for the design of a cascade of classifiers, which is becoming a popular choice for many classification problems. Both algorithms represent each node classifier of a cascade using a high-level abstraction model and attempt to jointly optimize the setting of the thresholding parameters of all the node classifiers within the cascade. We applied both algorithms to optimize the famous Viola and Jones face detector and one of them in particular greatly improved the performance. We believe both algorithms can serve as a useful post-processing process for general cascaded classifier design.

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Cite

Text

Luo. "Optimization Design of Cascaded Classifiers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.266

Markdown

[Luo. "Optimization Design of Cascaded Classifiers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/luo2005cvpr-optimization/) doi:10.1109/CVPR.2005.266

BibTeX

@inproceedings{luo2005cvpr-optimization,
  title     = {{Optimization Design of Cascaded Classifiers}},
  author    = {Luo, Huitao},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {480-485},
  doi       = {10.1109/CVPR.2005.266},
  url       = {https://mlanthology.org/cvpr/2005/luo2005cvpr-optimization/}
}