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RI | Publications | Human Face Detection in Visual Scenes
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Text only version of this site
Human Face Detection in Visual Scenes
H. Rowley, S. Baluja, and T. Kanade
Advances in Neural Information Processing Systems 8, 1996, pp. 875 - 881.
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| Abstract |
We present a neural network-based 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, which adds false detections into the training set as training progresses. This eliminates the difficult task of manually selecting non-face training examples, which must be chosen to span the entire space of non-face images. Comparisons with another state-of-the-art face detection system are presented; our system has better performance in terms of detection and false-positive rates.
| Notes |
Associated center: VASC
Associated labs/groups: Face Group and Human Sensing
Associated projects: Neural Network-Based Face Detection, Face Detection Databases, Face Detection, and Face Databases
| Text Reference |
H. Rowley, S. Baluja, and T. Kanade, "Human Face Detection in Visual Scenes," Advances in Neural Information Processing Systems 8, 1996, pp. 875 - 881.
| BibTeX Reference |
@inproceedings{Rowley_1996_2677,
author = "Henry Rowley and Shumeet Baluja and Takeo Kanade",
title = "Human Face Detection in Visual Scenes",
booktitle = "Advances in Neural Information Processing Systems 8",
year = "1996",
pages = "875 - 881"
}