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RI | Publications | Neural Network-Based Face Detection
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Text only version of this site
Neural Network-Based Face Detection
H. Rowley, S. Baluja, and T. Kanade
Computer Vision and Pattern Recognition '96, June, 1996.
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| Abstract |
We present a neural networkbased face detection system. A retinally connected neural network examines small windows of an image, and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We use a bootstrap algorithm for training the networks, which adds false detections into the training set as training progresses. This eliminates the difficult task of manually selecting nonface training examples, which must be chosen to span the entire space of nonface images. Comparisons with other stateoftheart face detection systems are presented; our system has better performance in terms of detection and falsepositive rates.
| Notes |
Associated center: VASC
Associated lab/group: Face Group
Associated projects: Neural Network-Based Face Detection, Face Detection Databases, Face Detection, and Face Databases
| Text Reference |
H. Rowley, S. Baluja, and T. Kanade, "Neural Network-Based Face Detection," Computer Vision and Pattern Recognition '96, June, 1996.
| BibTeX Reference |
@inproceedings{Rowley_1996_2678,
author = "Henry Rowley and Shumeet Baluja and Takeo Kanade",
title = "Neural Network-Based Face Detection",
booktitle = "Computer Vision and Pattern Recognition '96",
month = "June",
year = "1996"
}