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[Project image] Neural Network-Based Face Detection
This project is no longer active.

Head: Takeo Kanade
Contact: Takeo Kanade (tk@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated lab/group: Face Group

For more information, see this project's homepage.

Jump to: Project Description | Personnel | Publications

Project Description

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 non-face training examples, which must be chosen to span the entire space of non-face images. Comparisons with other state-of-the-art face detection systems are presented; our system has better performance in terms of detection and false-positive rates.

Past members

Name Title Email Address
Shumeet's personal homepage Shumeet Baluja Adjunct Faculty (Adjunct) baluja@cs.cmu.edu
Takeo's personal homepage Takeo Kanade U.A. and Helen Whitaker University Prof., RI/CS tk@cs.cmu.edu
Henry's personal homepage Henry Rowley PhD Student, CS

Recent publications [View all 11 publications]


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