ML Anthology

Rotation Invariant Neural Network-Based Face Detection

Henry A. Rowley, Shumeet Baluja, Takeo Kanade
CVPR 1998 pp. 38-44
doi:10.1109/CVPR.1998.698585 /cvpr/1998/rowley1998cvpr-rotation/

Abstract

In this paper, we present a neural network-based face detection system. Unlike similar systems which are limited to detecting upright, frontal faces, this system detects faces at any degree of rotation in the image plane. The system employs multiple networks; a "router" network first processes each input window to determine its orientation and then uses this information to prepare the window for one or more "detector" networks. We present the training methods for both types of networks. We also perform sensitivity analysis on the networks, and present empirical results on a large test set. Finally, we present preliminary results for detecting faces rotated out of the image plane, such as profiles and semi-profiles.

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Cite

Text

Rowley et al. "Rotation Invariant Neural Network-Based Face Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698585

Markdown

[Rowley et al. "Rotation Invariant Neural Network-Based Face Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/rowley1998cvpr-rotation/) doi:10.1109/CVPR.1998.698585

BibTeX

@inproceedings{rowley1998cvpr-rotation,
  title     = {{Rotation Invariant Neural Network-Based Face Detection}},
  author    = {Rowley, Henry A. and Baluja, Shumeet and Kanade, Takeo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1998},
  pages     = {38-44},
  doi       = {10.1109/CVPR.1998.698585},
  url       = {https://mlanthology.org/cvpr/1998/rowley1998cvpr-rotation/}
}