Henry A. Rowley,
Shumeet Baluja,
Takeo Kanade
(easy cases, see paper 1 below)
(difficult cases, see paper 2 below)
(The eye locations are merely to show the orientation
of the detected face. They were not located
by the detector.)
Thesis Dissertation
You can download my thesis dissertation [9.5 MB gzipped postscript, about 30 MB
uncompressed].
Demo and Results
We digitized some video sequences at about 3-5 frames per second at a
resolution of 320x240 pixels. These images were then processed by the
face detector, taking about 5-10 seconds per frame on a 200 MHz SGI
Indigo. The results were then MPEG encoded, resulting in the following
four videos:
[person walking]
[web browsing]
[person walking again]
[crowd]
Papers
- Neural Network-Based
Face Detection, by Henry A. Rowley, Shumeet Baluja, and Takeo
Kanade. IEEE Transactions on Pattern Analysis and Machine
Intelligence, volume 20, number 1, pages 23-38, January 1998.
-
Rotation Invariant Neural Network-Based Face Detection, by
Henry
A. Rowley, Shumeet Baluja, and Takeo Kanade. Accepted for oral
presentation at Computer Vision and Pattern Recognition, 1998,
pages 38-44. Also available as CMU CS
Technical Report CMU-CS-97-201, 1997.
You can also look at Henry Rowley's thesis
proposal document and proposal
presentation slides, 1996. Also available are some older papers whose content is covered
by the papers above.
Test Data
The test
images used in the above papers are available. I encourage other
people working on face detection to use these images, to provide a
standard for comparison.
Applications
Several researchers have incorporated this face detection system into
their own projects:
Contact Information
For more information, please contact a current
member of the Face
Group.
Related Links
Below are a few resources related to facial image processing on the
web. Please let me know if there
important items missing.
Henry A. Rowley
(har@cs.cmu.edu)
Shumeet Baluja
(baluja@cs.cmu.edu)
Takeo Kanade
(tk@cs.cmu.edu)